54results about How to "Reasonable forecast" patented technology

The invention discloses a prediction method of reliability of operation temperature rise of large and medium-sized motors and belongs to the technical field of reliability and durability of mechanicaland electrical power equipment. The prediction method comprises steps as follows: determination of main influence factors of temperature rise of a motor winding; calculation of heat generation amountand temperature rise of a motor under the influence of the determined factors; determination of random numerical characteristics of main influence factors of temperature rise of the motor winding; determination of the possible minimum value and the maximum value of operation temperature of the motor winding at different environment temperatures; calculation of the reliability that the operation temperature of the motor winding is smaller than the given temperature at different environment temperatures; calculation and determination of the reliability of operation temperature rise of the motorwinding. The probability that the operation temperature of the motor is lower than the highest allowable temperature under the influence of multiple uncertain factors can be accurately predicted, theprediction method is more scientific, the prediction result is more reasonable, a scientific basis is provided for design, selection and application of the motor and a ventilation cooling system thereof, the operation safety reliability of the motor is improved, and the prediction method has great theoretical academic value and engineering application significance.

The invention belongs the virtual simulation technical field, in particular to a macroscopic, mid-scope and microscopic multilevel urban parking demand prediction model integrated system, which comprises a system data module, an urban overall parking demand macroscopic prediction module, a comprehensive development sharing parking demand mid-scope prediction module and a parking garage entrance service level microscopic analysis module, wherein the system data module is used for importing and storing parking demand prediction data; the urban overall parking demand macroscopic prediction module is used for predicting the overall parking demand; the comprehensive development sharing parking demand mid-scope prediction module is used for predicting the largest parking demand of each block and is connected with the urban overall parking demand macroscopic prediction module; the parking garage entrance service level microscopic analysis module is used for predicting a parking garage entrance service situation; and the three prediction modules are respectively connected with the system data module. The macroscopic prediction module not only considers the parking demand of traveling vehicles, but also considers the parking demand of the vehicles which are not on trip, the mid-scope prediction module considers the shared parking demand of multi-nature buildings under the reachability situation of buses, bi-directional correction of the prediction results of the macroscopic, mid-scope and the microscopic modules can be realized, the system quantitatively predict the parking demand of different cities of different levels so as to provide important support for different parking researches.

The invention relates to a prediction device and a prediction method for the state of an emergency topic. The prediction device and the prediction method are provided based on the research of a microblog topic production mechanism and the influence of opinion leaders of emergency on the state of the emergency topic. The prediction device is provided with four components of a text acquisition unit, a topic clustering unit, a topic state recognition unit and a topic state prediction unit, and the topic state is predicted through the participation state of the opinion leaders, so that the prediction method of the topic state is simplified, the prediction accuracy is higher, and a basis can be provided for monitoring the tendency of the emergency topic. Through the calculation method of topic attention provided by the invention, the computation complexity of a traditional topic attention method is reduced. Moreover, the numerical value prediction of the topic attention is replaced by adopting the prediction of the state of the topic, so that the prediction content is more reasonable, and the prediction accuracy is higher. Furthermore, a prediction method of a hidden Markov model is provided, the set of the opinion leaders and the model of topic prediction are constructed through incremental iteration, so that the prediction operation can be obviously simplified, and the prediction efficiency is improved.

A method for predicting plant lncRNA-miRNA interaction, comprising: obtaining an original data set, processing it to obtain a set of lncRNA sequence features, a set of interaction profiles of lncRNA, a set of miRNA sequence features, a set of interaction profiles of miRNA, and calculating The similarities S_lncS, S_lncP, S_miS, and S_miP corresponding to the lncRNA sequence feature set, the lncRNA interaction profile set, the miRNA sequence feature set, and the miRNA interaction profile set respectively, the sequence feature similarity of lncRNA S_lncS, and the interaction profile of lncRNA The similarity S_lncP is combined to obtain the combined similarity of lncRNA, and the sequence feature similarity S_miS of miRNA and the interaction spectrum similarity S_miP of miRNA are combined to obtain the combined similarity of miRNA; from the first interaction matrix 1 / 5 of the elements are randomly selected and set to zero to obtain the first training matrix.