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62 results about "Grey systems theory" patented technology
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What is Gray System Theory (GST) 1. A method of Gray System Theory (GST) which measures the degree of similarity between two systems. Two things are needed to be calculated for GRA: Gray Relational Coefficient (GRC), Gray Relational Grade (GRG).
Repeat dynamic measurement data processing method based on grey system theory
InactiveCN101398311AAchieve the correct assessmentHigh precisionComplex mathematical operationsSpecial purpose recording/indication apparatusData processing systemStandard uncertainty
The invention provides a repeated dynamic measurement data processing method based on a grey system theory, comprising the steps as follows: 1. a signal x(t) to be measured is measured by a dynamic measurement system; according to detailed measurement function operation, discrete sampling is carried out to sampling points at all time; and the dynamic measurement data sequence is obtained after the error correcting data of the corresponding measurement system is accumulated; 2. in a repeated dynamic measurement data processing system, the entered dynamic measurement data sequence and values on sampling points at all time are averaged; 3. the dynamic measurement average value is calculated according to an orthogonal polynomial high-order data fitting principle, thus working out a dynamic measurement expected function y(t) fitting curve model; 4. the measured values on the sampling points at all time are accumulatively added according to the grey system theory, and an grey estimation technique used for uncertainty is used for working out the uncertainty of the dynamic measurement standard on the sampling points at all time; curve fitting is carried out, thus obtaining the dynamic measurement uncertainty function mathematic model u(t); and 5. dynamic measurement expected function fitting curve model in the step 3 and the dynamical measurement uncertainty function model are combined.
Owner:BEIHANG UNIV
Gray associated analysis based sub-pixel fringe extracting method
InactiveCN101137003AReduce data volumeEliminate distractionsTelevision system detailsImage analysisEdge extractionCorrelation analysis
The invention includes steps: select the reference template for gray correlation analysis and convert the original pictures to pictures of gray correlation by calculating the two-dimensional gray absolute connection; (2) next process the pictures of gray connection with threshold values; (3) then apply the cubic-polynomial-fitting of the two-dimensional gray absolute connection in a small area on the pictures of the gray connection; (4) obtain the fitting parameter by least square method and (5) use the first and second derivatives of the fitting function on the gradient slope to obtain the edge of sub-pixel. This invention for the first time applies the gray system theory for extracting the edge of sub-pixel, effectively suppressing the interferences from white noise and colored noise, enhancing the precision of the edge extraction, reducing the data sizes of the pictures, thus facilitating the operation of the extraction algorithm. This invention can be widely applied in the field of measuring techniques.
Owner:BEIHANG UNIV
Converter oxygen consumption prediction method based on grey prediction and neural network combined model
ActiveCN109447346AWith dynamic featuresImprove forecast accuracyForecastingNeural architecturesSteelmakingLocal optimum
A converter oxygen consumption prediction method based on grey prediction and a neural network combined model belongs to that technical field of oxygen prediction of converter in iron and steel enterprise. The oxygen consumption of a converter is predicted by analyzing the factors that affect oxygen consumption. Based on the nonlinear computational characteristics of Elman feedback neural network,the grey system theory can not only accelerate the convergence rate of artificial neural network prediction model, but also more effectively show the change law of oxygen consumption in converter, and improve the accuracy of prediction. By combining with the combined model of grey prediction and Elman neural network, the combined model has strong global searching ability, and optimizes the network at the same time, and adds appropriate operators, which enhances the ability of searching local optimal solution and global optimal solution, and can effectively improve the prediction accuracy, guide the steelmaking production to use oxygen reasonably, and improve the production efficiency.
Owner:AUTOMATION RES & DESIGN INST OF METALLURGICAL IND
Prediction method of coal calorific value on the basis of grey correlation analysis and multiple linear regression model
InactiveCN105740988ASimple forecasting methodImprove forecast accuracyForecastingGrey correlation analysisAlgorithm
Owner:NANJING DELTO TECH
Dynamic traffic abnormal data detection and recovery method
InactiveCN104156579AImprove data qualityEnsure traffic safetyDetection of traffic movementSpecial data processing applicationsRecovery methodIn vehicle
The invention discloses a dynamic traffic abnormal data detection and recovery method including abnormal data detection and abnormal data recovery. A density-based local abnormal isolated point discovery method is adopted for abnormal data detection, and a grey system theory based recovery method is adopted for abnormal data recovery. By the method, abnormal data in vehicle operating data in dynamic traffic are detected and recovered effectively in real time, data quality is improved, and traffic safety is guaranteed finally accordingly.
Owner:JIANGNAN UNIV +1
Shield driving parameter prediction method based on grey system model
InactiveCN108491590AControl tunneling parametersFast real-timeGeometric CADDesign optimisation/simulationAlgorithmOriginal data
The invention provides a shield driving parameter prediction method based on a grey system model. According to the method, tunneling parameters of continuous tunneling of a set quantity of rings by ashield tunneling machine are selected to serve as sampled data; the sampled data is converted into a generation sequence displaying a certain law, and a tunneling parameter grey prediction model basedon the grey system theory is established based on the generation sequence, wherein the sampled data is input into the tunneling parameter grey prediction model, and the tunneling parameter grey prediction model obtains tunneling parameter prediction values of subsequent tunneling segments through calculation; the tunneling parameter prediction values are fed back to a shield manipulator to guideshield tunneling machine tunneling parameter control; and tunneling parameter samples are updated in real time to realize dynamic circulation of tunneling parameter prediction. Through the method, byweakening the randomness of original data to highlight the inherent law of the original data, only a small amount of original data is needed; and meanwhile, the model is properly corrected through thedifference between a model fitting value and an actual value, prediction precision can be improved, and the prediction result is more approximate to practice.
Owner:BEIJING JIAOTONG UNIV +2
Waste asphalt concrete gradating optimization method based on grey system theory
InactiveCN104496284AImprove road performanceImprove high temperature stabilitySolid waste managementForecastingPorosityEffective factor
The invention discloses a waste asphalt concrete gradating optimization method based on grey system theory, belonging to the material technical field. The method includes performing grading pre-treatment of waste asphalt concrete, building virtual screen size gradation among each grade of waste asphalt concrete direct screening results and the screening results after removal of asphalt, preparing macroporous asphalt concrete under the condition of different virtual screen size gradation blending proportions, performing grey relational analysis and grey correlation degree ordering by adopting porosity deviation changes of macroporous asphalt concrete as the main behavior of the system, and proportional changes of different virtual coefficients in synthesis screening as an effective factor affecting the main behavior, and choosing the virtual screen size gradation with maximum correlation as mixture ratio design basis of actual production of recycled asphalt concrete. The method can accurately control the mixture ratio design of the recycled asphalt concrete, improve recycled asphalt concrete performance, and provide theoretical guidance for application of the waste asphalt concrete in skeleton asphalt mixture.
Owner:WUHAN INSTITUTE OF TECHNOLOGY
Permanent magnet synchronous motor rotating speed control method based on optimized grey prediction compensation
ActiveCN104242744AImprove robustnessHigh control precisionVector control systemsSingle motor speed/torque controlControl vectorPermanent magnet synchronous motor
The invention relates to a permanent magnet synchronous motor rotating speed control method based on optimized grey prediction compensation. As for the influences brought by uncertain factors such as noise and microvariations on permanent magnet synchronous motor rotating speed control precision, a grey system theory is adopted to build a grey prediction model to carry out advanced prediction on rotating speed deviation produced by disturbance terms, then real-time compensation is carried out on an actual control process, and rotating speed tracking performance and robustness of a permanent magnet synchronous motor are improved. Due to the fact that a traditional grey method has inherent defects in the initial value selecting aspect, the optimized grey prediction model is provided at first and then is applied into motor rotating speed control. The optimized grey prediction model is obtained through grey model derivation, the grey model is used for predicting the future rotating speed deviation of the permanent magnet synchronous motor on the basis of vector control, advanced prediction compensation is carried out, and the motor rotating speed control precision and robustness are improved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Gray system theory based accelerated degradation test reliability assessment method
ActiveCN106227910ATo overcome the low accuracyAccelerated degradation test reliabilitySpecial data processing applicationsOriginal dataTheory analysis
The embodiment of the invention discloses a gray system theory based accelerated degradation test reliability assessment method. The method includes the steps: (1) performing data pretreatment on original data acquired by an accelerated degradation test, and acquiring pretreated data; (2) analyzing the pretreated data through the gray system theory, and acquiring gray system theory analysis data; and (3) performing reliability assessment on the ray system theory analysis data. Compared with the prior art, the method can correctly recognize and effectively control operation behaviors of the system, and is close to engineering practice.
Owner:广东科鉴检测工程技术有限公司
Power grid equipment life cycle cost calculation method
The invention discloses a power grid equipment life cycle cost calculation method, which comprises a step of building a power grid equipment life cycle constitution model and a step of forming a peak shaving gap cost analysis and calculation method, wherein peak shaving gap cost analysis and calculation method further comprises the steps of dividing the life cycle cost into one-time investment cost and operation and maintenance cost, determining operation and maintenance cost best-fit distribution by adopting a grey system theory analysis method so as to acquire an operation and maintenance cost distribution relation, synthesizing the two parts of cost by combining a time allocation based one-time investment cost calculation method and taking the lowest LCC (Life Cycle Cost) as a target so as to form the power equipment life cycle cost analysis and calculation method. The power grid equipment life cycle cost calculation method achieves the purposes of reducing resource consumption and realizing effective control for the cost.
Owner:STATE GRID GASU ELECTRIC POWER RES INST +3
Grey system theory-based method of predicting annual heat supply of urban heating system
ActiveCN104699991AEliminate dependenciesLearningSpecial data processing applicationsLoad forecastingPredictive methods
The invention relates to a method of predicting annual heat supply of an urban heating system, in particular to a grey system theory-based method of predicting annual heat supply of the urban heating system, belongs to the technical field of load prediction for heating systems and solves the problem that the existing prediction method of the single heating system is unable to be used in the planning of urban heating systems. The method is technically characterized by including: selecting a historic value of an initial variable and a historic value of a dependent variable; checking relational degree between the initial variable and the dependent variable; subjecting the initial variable to collinearity test, and performing screening to obtain an explanatory variable; building a GM (1, 1) and GM (1, N+1) model based on the grey system theory, and solving parameters of the model; building a grey system state equation to predict annual heat supply in a planned period. The method is applicable to the planning of urban energy systems or heating systems.
Owner:哈尔滨天达控制股份有限公司
Drum product platform design method based on robustness
InactiveCN104881532AImprove versatilityRobust high quality performanceSpecial data processing applicationsTest designEngineering
The invention discloses a drum product platform design method based on robustness. According to the method, according to user requirements, the prior art and analysis of a designer, the designer creates a main function concept, parameters greatly influencing a product structure are extracted to serve as characteristic parameters, drum characteristic design parameters are reasonably refined through 'Zigzagging' mapping according to function requirement analysis and division of three kinds, and a function requirement and design parameter matrix of a product platform is built. A grey system theory is applied to the robust design of the product platform, and platform parameters and variant parameters are reasonably recognized through test design and association degree variance analysis; then, robust optimization is carried out in two stages, an optimal design scheme of design parameters of a drum set product family base body product and design parameters of each variant product is determined, the capacity of a product to adapt to outside environments is improved, design changes are taken into consideration, and the high-quality product is obtained at low cost. When the method is used for design, robustness of the product is taken into consideration at the early stage of product platform design, and design has adaptability so that a lot of rework in the later stage can be avoided.
Owner:EAST CHINA JIAOTONG UNIVERSITY
Method for failure prediction of infrared hot box audio channel
InactiveCN105719007AImprove operation and maintenance efficiencyEnsure driving safetyForecastingHot boxState prediction
The invention discloses a method for failure prediction of an infrared hot box audio channel.With an infrared hot box channel monitoring and diagnostic system as the basis, a failure prediction module is arranged on a monitoring diagnosis platform to predict a system state and judge whether failures occur in a period of time.The failure prediction module comprises a data processing module, a model building module, a state prediction module and a failure judgment module.The data processing module receives and analyzes data uploaded by a diagnostic device, and analyzes the data according to a protocol and stores the data into a database.The model building module extracts data from the database and uses a grey system theory to build a model.The state prediction module predicts signal characteristics according to a system model.The failure judgment module sets a signal characteristic threshold.According to the method, the system model is built through the grey system theory, the system state is predicted, the failure trend is found timely, preventive measures are taken, the operation and maintenance efficiency is improved, and the traffic safety is guaranteed.
Owner:南京富岛信息工程有限公司
An original fatigue quality assessment method based on uncertainty analysis
InactiveCN109264023ALarge capacitySimplify the analysis processMaterial strength using tensile/compressive forcesAircraft components testingData setSmall sample
The invention provides an original fatigue quality assessment method based on uncertainty analysis. The equivalent initial flaw size of all fracture surfaces obtained from durability test is no longerdivided into different stress levels, but is used as a whole data set for original fatigue quality assessment, which improves the data sample size, ensures the authenticity of the analysis results and simplifies the data processing flow. Via EIFS- TTCI data conversion formula, which converts the EIFS data set into TTCI data set obeying three-parameter Weibull distribution, is convenient for parameter determination and verification; By introducing fuzzy theory, more uncertain information can be mined from the data, which improves the calculation accuracy of cumulative failure probability. Theparameters of TTCI distribution are estimated by grey system theory, which is more suitable for the case of less sub-samples. The invention can improve the sample capacity, fully mine the uncertain information contained in the data, simplify the analysis flow, reduce the calculation workload, is more suitable for the situation of small sample number, and ensures that the evaluation result is moretrue and accurate.
Owner:CHINA AIRPLANT STRENGTH RES INST
Uncertainty assessment method for measuring rockwell hardness of information lacking material
InactiveCN101509858AImprove accuracyComputing modelsInvestigating material hardnessHardnessLarge distance
The invention relates to a method for evaluating uncertainty of Rockwell hardness measurement of deficiency information material, comprising the five steps of: step 1, carrying out ordering to the obtained measured data in a Rockwell hardness machine according to ascending order; step 2, carrying out first order accumulation to the obtained data after ordered and generating an accumulation curve; step 3, calculating the largest distance value of a reference line obtained by the accumulation of average value of measured data and the accumulation curve generated by the step 2; step 4, marking the results on frequency distribution and judging the obedient data distribution types of the measured data according to a frequency distribution diagram; and step 5, calculating the uncertainty of Rockwell hardness measurement of deficiency information material according to a formula that Mu is equal to c (Delta max / n). The invention mainly applies the grey system theory to carry out uncertainty evaluation to the Rockwell hardness measurement of the material, and the method belongs to the practical engineering application of the nonstatistical principle. The method overcomes the defects of the statistical method in the prior art, and leads the uncertainty evaluation to be more accurate and effective in the engineering measurement, thus having practical value and application prospect.
Owner:BEIHANG UNIV
VOD (Video On Demand) application resource consumption prediction method based on virtual machine
ActiveCN102831013AResolve dependenciesSolve the problem of imperceptibilityResource allocationSelective content distributionCorrelation functionVirtual machine
The invention discloses a VOD (Video On Demand) application resource consumption prediction method based on a virtual machine. The VOD application resource consumption prediction method comprises the following steps of: (1), acquiring and normalizing resource consumption parameters of a change system, and using a correlation degree analysis of a grey system theory to calculate a correlation function value of resource consumption parameters of the system, comparing the correlation function value with VOD user linkage quantity correlation size to judge a system bottleneck resource; and (2), performing a grey-generated data conversion to original bottleneck resource data and establishing a grey differential equation to acquire a bottleneck resource consumption function relationship. The VOD application resource consumption prediction method takes a random character of a VOD user accessing behavior into consideration, so that a generated real-time dynamically changed VOD application load can be analyzed on a fine-grained level, and a system resource consumption condition can be forecast; for a resource sharing virtualization scene, a dependence problem of system resource consumption, and a problem that a virtual machine monitor cannot perceive an application performance of a VOD encapsulated inside the virtual machine are solved.
Owner:XI AN JIAOTONG UNIV
Battery fault diagnosis method and system based on GM (1, 1) grey model
PendingCN112363059AMaintain diagnostic sensitivityReduce computing costElectrical testingElectrical batteryFaulty cell
The invention provides a battery fault diagnosis method and system based on a GM (1, 1) gray model. The method comprises the steps of building a battery GM (1, 1) voltage prediction model based on a gray system theory according to the fluctuation characteristics of a voltage during the charging and discharging of a battery, setting secondary battery voltage data for prediction through the latest current working condition, obtaining a prediction value, and calculating the difference between a voltage measurement value and the prediction value. Potential faults of the battery are diagnosed according to difference changes, early diagnosis of multiple faults of the battery under different working conditions is achieved, fault types and fault time can be accurately predicted, the requirement for data density is low, and the voltage of the battery only needs to be collected once in one second. The method is simple and easy to implement and good in robustness, and has a great practical value.
Owner:SHANDONG UNIV
Grey artificial neural network combination model based method for predicting height of water-flowing fractured zone
The invention discloses a grey artificial neural network combination model based method for predicting height of a water-flowing fractured zone. The method includes the steps of S1, collecting an influencing factor index of the height of the mine water-flowing fractured zone and corresponding height of the water-flowing fractured zone so as to obtain a sample data set; S2, by means of a weakening buffer operator in the grey system theory, weakening extreme changes of the sample data set; S3, normalizing the sample data set weakened, and dividing the normalized sample data set into a training sample and a testing sample; S4, by means of a Matlab artificial neural network toolbox, entering the training sample into a compiled program to establish a water-flowing fractured zone height prediction model; S5, comparing a predicted value of the testing sample and its actual value, if a relative error is less than or equal to 10%, determining that the model is effective, if not, determining that the model is ineffective, changing programming parameters, and re-constructing the model.
Owner:HENAN POLYTECHNIC UNIV
Discrete modeling method of accelerated degradation data based on grey system theory
InactiveCN106339588AOvercome the problem of low modeling accuracyEasy to analyzeInformaticsSpecial data processing applicationsDiscrete element methodData transformation
The invention discloses a discrete modeling method of accelerated degradation data based on a grey system theory. The method comprises the following steps: 1, carrying out timing inequality treatment; 2, carrying out a class ratio test and data transformation; 3, generating a grey sequence; 4, carrying out grey comprehensive relational grade analysis; 5, establishing a discrete grey model. The technical point of the invention is that simplified comprehensive relational grade analysis is carried out on original data of accelerated degradation based on the discrete modeling method in the grey system theory, so that a discrete grey-scale model is established. According to the invention, a universal modeling method which considers similarities of absolute positions among the data, further considers similarities of change rates, and provides a discrete form to original experiment data of various accelerated degradation tests containing key degradation information is established. The discrete modeling method of the accelerated degradation data based on the grey system theory disclosed by the invention has the advantages that the obtained model takes the data as a basis, thereby being more close to actual engineering requirements to provide a foundation and basis for further product reliability analysis and life prediction.
Owner:SOUTH CHINA UNIV OF TECH
Dynamic measurement error compensation method for measuring oil holdup by split-flow method
ActiveCN112096374AAvoid measurement anomaliesHigh compensation accuracySurveyDesign optimisation/simulationWell loggingOil field
The invention belongs to the technical field of petroleum engineering and well logging, and particularly relates to a dynamic measurement error compensation method for measuring oil holdup by a split-flow method. The method comprises the following steps: 1, carrying out a split-flow method oil-water measurement experiment, setting the theoretical oil holdup of the t experiment as Vt, settingthe measured actual oil holdup as Vft, and calculating the oil holdup dynamic measurement error delta Vt; 2, identifying and correcting the abnormal value of the oil holdup dynamic measurement error delta Vt by adopting a grey system theory; 3, performing digital addition and anti-pleat preprocessing operation on the corrected oil holdup dynamic measurement error delta, wherein the processed oil holdup dynamic measurement error is delta; 4, establishing an oil holdup dynamic measurement error prediction model according to the digital addition and anti-pleat preprocessed oil holdup dynamic measurement error delta; and 5, compensating the oil holdup dynamic measurement error caused by split flow by utilizing the oil holdup dynamic measurement error prediction model. According to the method,the dynamic measurement error of the oil holdup measured by the split-flow method is compensated, the precision of the oil holdup measured by the split-flow method is improved, and reliable oil holdupdata are provided for oilfield metering.
Owner:东营点阵信息科技有限公司
Numerical simulation method for cell growth in space biology
InactiveCN101853328ARealize simulationAchieve forecastSpecial data processing applicationsRegression analysisOriginal data
The invention provides a numerical simulation method for cell growth in space biology. The method comprises the following steps of: performing analytical processing on primary data for the cell growth by using a gray system theory to establish a gray system Verhulst model; performing regression analysis on a simulated value obtained by the gray system Verhulst model and an error sequence of the primary data by a support vector regression method; and meanwhile establishing a metabolism model for removing the old sequence and adding new information. The combined model can realize simulation and prediction of the cell growth under the condition of three gravity parameters, namely simulated microgravity, normal gravity and super-gravity.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Enhanced oil recovery potential predicting method based on grey system theory
InactiveCN104715298AImprove forecast accuracyEOR Potential Prediction ResultsForecastingData setAlgorithm
The invention discloses an enhanced oil recovery potential predicting method based on a grey system theory. The predicting method comprises the following steps: A. according to the actual situation of an oilfield, selecting enhanced oil recovery data within a continuous time period, and classifying the data into an analog data set and a detecting data set; B. constructing an original sequence by virtue of an analog data set so as to obtain a 1-AGO sequence; C. calculating a consecutive neighbor mean generation sequence of the 1-AGO sequence by virtue of an optimized fuzzy prediction model background value formula; D. calculating a development coefficient and a grey action quantity so as to obtain a time response formula and a reducing value; E. obtaining a model calculating analog value by adopting the step D and carrying out fitting precision inspection; and F. predicting an enhanced oil recovery potential by virtue of a reducing value calculating method obtained from the step D. The method can be used for eliminating the predicting error caused by the improper selection of influencing factors by analyzing the enhanced oil recovery data. Meanwhile, by optimizing and improving a fuzzy predicting model, the predicting precision of the model is relatively high, and an enhanced oil recovery predicting result is relatively accurate, fair and reasonable.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)
Image encryption and decryption method for utilizing gray system theory to confirm ICA output
ActiveCN103414841AHigh speedSolve the problem of indeterminate orderPictoral communicationPlaintextPrincipal component analysis
The invention provides an image encryption and decryption method for utilizing the gray system theory to confirm ICA output. The method comprises the steps of adopting the symmetric encryption algorithm based on ICA to conduct encryption work; adopting the Fast ICA algorithm to solve figures at the encryption end. If the sequence of encryption output images is not confirmed, using main components to analyze main components of the images, using the component data of the main components as model building data of a gray model, conducting gray association analysis on the images, and conducting Deng-type gray correlation degree calculation so as to obtain the gray correlation degree of the images. Sequences with the largest gray correlation degree are corresponding clear images and decrypted images. Image characteristic extracted through the method are accurate, and characterized data volume is not influenced by image blocks and image patterns, identification data volume is small, the algorithm speed is fast, manual threshold setting is not needed for judgment, and the problem that the decrypted output image sequence is not confirmed is well solved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
LED chip thermal vibration accelerated life prediction method based on gray system theory
InactiveCN110045257AAccurate and Effective PredictionSemiconductor operation lifetime testingComplex mathematical operationsAnalysis dataOriginal data
The invention discloses a LED chip thermal vibration accelerated life prediction method based on gray system theory, which comprises the following steps: firstly, applying acceleration stress under different loading modes to an LED chip, and acquiring life experiment original data under different acceleration stress; then, carrying out grey processing on the experiment original data by using a grey system theory to obtain grey analysis data, and constructing a grey system theory prediction model; and finally, carrying out grey correlation degree analysis on the constructed grey system theory model. Compared with the prior art, the grey system prediction model does not need to consider a temperature-vibration interaction relationship and a statistical model related to a physical failure rule, and can obtain efficient and accurate prediction and evaluation. According to the method, the service life of the LED chip under the thermal and vibration double stress in normal work can be estimated through the original service life data under the acceleration stress and the number series prediction of the gray system theory, the prediction result is closer to the engineering practice, and ascientific data theory reference basis can be provided for designing and producing the LED chip with high performance and high stability.
Owner:JIANGSU UNIV
Prediction method for retail sales volume of gas station convenience store
PendingCN110223101AEliminate inherent biasReflect the characteristics of volatilityMarketingPredictive methodsDecision taking
The invention discloses a prediction method for retail sales volume of a gas station convenience store, and the method comprises the steps od firstly, building an unbiased GM (1, 1) prediction model based on a grey system theory, and eliminating the inherent deviation of a conventional GM (1, 1) prediction model; secondly, correcting the relative residual error of the unbiased GM (1, 1) predictionmodel by using the Markov theory, wherein the model can better reflect the fluctuation characteristics of the data, and finally, whitening the parameters of the unbiased GM (1, 1)-Markov prediction model gray interval by using an improved particle swarm optimization algorithm, and obtaining the unbiased grey PSO-Markov prediction model. According to the model, the precision of the prediction model can be improved, and the model can be used for the commodity sales prediction of convenience stores of the gas stations and provides a basis for operation decisions of enterprises.
Owner:KUNMING UNIV OF SCI & TECH
Flood disaster emergency material dynamic demand prediction method
InactiveCN108288108ASmall sample sizeLess historical dataClimate change adaptationForecastingSmall sampleLogistics management
Owner:SHENYANG UNIV
Overlying strata fissure zone influence factor weight analysis method based on grey system theory
PendingCN110766293AGuide safe productionAccurately determineResourcesGrey correlation analysisFracture zone
Owner:CCTEG CHINA COAL RES INST
VOD (Video On Demand) application resource consumption prediction method based on virtual machine
ActiveCN102831013BResolve dependenciesSolve the problem of imperceptibilityResource allocationSelective content distributionVirtualizationResource consumption
Owner:XI AN JIAOTONG UNIV
Color spinning process quality control model construction method based on knowledge automation technology
InactiveCN106292579AEasy to organizeImprove work efficiencyProgramme total factory controlSupport vector machineProcess quality
The present invention discloses a color spinning process quality control model construction method based on a knowledge automation technology. The method comprises the following steps of designing a parallel cuckoo search algorithm based on particle swarm optimization, carrying out the high dimensional data feature extraction, and further utilizing a self-organizing neural network theory to solve the optimal solution of the knowledge variables; on the basis of the above steps, utilizing a grey system theory, a cooperative training algorithm and a support vector machine to construct a relation matrix between the knowledge variables, and utilizing a method of mean value to solve the association degree, and further designing a support vector regression algorithm based on the cooperative training, and automatically correcting an association degree calculation result; on the basis of the above two steps, utilizing the support vector machine to construct a color spinning process quality control model based on the knowledge automation technology. According to the present invention, the color spinning process quality control model based on the knowledge automation technology is constructed, the working efficiency is improved, at the same time, the data preparation is convenient.
Owner:XI'AN POLYTECHNIC UNIVERSITY
Parameter characterization method applied to flight state of aircraft
InactiveCN110599622AReduce computationImprove accuracyRegistering/indicating working of vehiclesFeature vectorCorrelation analysis
The invention discloses a parameter characterization method applied to a flight state of an aircraft, and the method includes the following program steps of step 1, using all the collected flight parameters about the performance status of the aircraft as a cardinality set; step 2, taking all the flight status as a flight status set, and establishing a mapping relationship between the flight statusset and the cardinality set; step 3, using a gray correlation analysis method of gray system theory to calculate gray correlation values between the flight status set and the cardinality set; step 4,combining the obtained multiple groups of gray correlation values into a feature vector; step 5, calculating the fuzzy information entropy of the feature vector; and step 6, regarding the calculatedfuzzy information entropy as the mapping relationship value between the flight status and the corresponding flight parameters, and determining the optimal flight parameter corresponding to the flightstatus according to the magnitude of the mapping relationship value.
Owner:AVIC SHANGHAI AERONAUTICAL MEASUREMENT CONTROLLING RES INST
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