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Dynamic model allocating method based on matrix transformation

A technology of matrix transformation and model algorithm, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of management progress unable to meet the requirements of superiors, lack of graphical result display means, and cumbersome analysis and evaluation process, etc. To achieve the effect of reducing the workload of software maintenance, shortening the analysis and evaluation cycle, and enriching the model library

Active Publication Date: 2013-08-07
江苏杰瑞信息科技有限公司
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

Such an analysis and evaluation process is cumbersome, has a long operation cycle, lacks means of graphical display of results, and has high requirements for managers who must understand the model and use various modeling tools proficiently. However, in the face of a large amount of cost analysis and When evaluating management tasks, the management prog

Method used

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  • Dynamic model allocating method based on matrix transformation
  • Dynamic model allocating method based on matrix transformation
  • Dynamic model allocating method based on matrix transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Embodiment 1, a method for dynamically deploying models based on matrix conversion, the steps are as follows:

[0050] Step 1, generate a model file, encapsulate the algorithm into a model file in a general form through matrix transformation, analyze the model algorithm to be processed, including the algorithm name, the number of input and output parameters and parameter types, and convert all input and output parameters into an input matrix and an output matrix;

[0051] Step 2, model verification and registration configuration, store the model in the model library and verify the correctness of the model;

[0052]Step 3, model dynamic call, first select the model, then analyze the input data source of the model, and call the matrix edge detection to provide fault-tolerant processing, load the corresponding data for model calculation, finally analyze the calculation result - the output matrix, and display it graphically , save the calculation results;

[0053] Step 4,...

Embodiment 2

[0054] Embodiment 2, in step 1 of the method for dynamically deploying models based on matrix transformation described in Embodiment 1, the steps of encapsulating the algorithm into a general-purpose model file through matrix transformation are as follows:

[0055] (1) Generate model files through matrix transformation

[0056] First, analyze the model algorithm. The result of the analysis includes the algorithm name, the number of input and output parameters of the algorithm, and the parameter types. Then, the algorithm is packaged according to the algorithm parameter information. The package configuration includes the following contents:

[0057] a. Name of the encapsulated model interface;

[0058] b. input matrix, which contains the input matrix of all input parameters;

[0059] c. output matrix, which contains the output matrix of all output parameters;

[0060] d. Model algorithm input parameter information;

[0061] e. Model algorithm output parameter information;

...

Embodiment 3

[0071] Embodiment 3, in the step 2 of the matrix conversion-based model dynamic allocation method described in embodiment 1 or 2, the model is stored in the model library and the correctness of the model is verified. The steps are as follows:

[0072] (1) Model configuration

[0073] Configure model information and store the model in the model library, and then store the configuration information in the database. The configuration information includes the following:

[0074] a. Model basic information, including model name, description and version information;

[0075] b. Model call information, including model input and output matrix information, model usage instructions, and model file information;

[0076] (2) Model verification

[0077] First read the path and name of the model file, find out whether the model in the model library exists, and send a prompt message if it does not exist, and then restore the input and output matrix information to the algorithm parameter ty...

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Abstract

The invention relates to a dynamic model allocating method based on matrix transformation. The method comprises the steps of firstly, transforming and generating complex models into model files which can be loaded conveniently by programs according to dynamic model operation requirements in expense analysis and assessment processes, and designing transformation matrixes to be adapted to uncertain input and output parameters of different models; dynamically calling successfully registered models, analyzing input matrix content and loading corresponding data for calculation; and finally, graphically displaying and saving output results according to analysis of the output matrix content. By means of the dynamic model allocating method, dynamic model allocation based on matrix transformation is designed and achieved, all kinds of models in expense analysis and assessment processes can be integrated and called widely, the problem that staff members fail to use complex models is solved effectively, the complexity and workloads of expense analysis and assessment through models are reduced for staff members, and the optimum and scientific application of expense analysis and assessment models is achieved.

Description

technical field [0001] The invention relates to a dynamic model allocation technology, in particular to a matrix conversion-based dynamic model allocation method, which can be applied to dynamic model allocation and use in other types of information analysis and evaluation systems. Background technique [0002] In today's management process combining statistics and decision-making, in order to adapt to the requirements of enterprise procurement system reform and investment analysis in the new era, it is necessary to establish a cost analysis and evaluation platform, based on statistical theory, and establish a mathematical model to provide macro planning, system construction, and Self-developed and purchased economic analysis, equipment model demonstration and life cycle analysis services to improve the automation of cost estimation, analysis and evaluation. [0003] In order to improve the credibility and scientificity of the platform, it is necessary to select the optimal ...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 田亚丽刘宝华张桂平陈端迎杨光年郭荣亮吴茂传许永正刘烨王广杰
Owner 江苏杰瑞信息科技有限公司
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