Global sensitivity analysis method for improving usefulness of complex information system

A technology of global sensitivity and information system, applied in neural learning methods, neural architecture, biological neural network models, etc., can solve problems such as low efficiency and poor effect

Inactive Publication Date: 2018-04-06
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0006] The purpose of the present invention is to invent a method to quickly improve the processing capability of the information system within a limited budget and time, that is, a global sensitivity analysis method based on extreme learning machines.

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  • Global sensitivity analysis method for improving usefulness of complex information system
  • Global sensitivity analysis method for improving usefulness of complex information system
  • Global sensitivity analysis method for improving usefulness of complex information system

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Embodiment Construction

[0018] The present invention will be further described below in conjunction with the accompanying drawings and related algorithms.

[0019] The overall process of the present invention is as figure 1 shown.

[0020] The invention analyzes the system simulation data based on the information, and obtains the training samples evenly distributed in the value range of the coverage index by sampling the Latin hypercube. The extreme learning machine is selected as the proxy model, and the optimal proxy model is obtained through training. Select quasi-Monte Carlo sampling instead of traditional Monte Carlo sampling to collect a large amount of data required for global sensitivity analysis, and obtain a complete analysis sample through the proxy model, and analyze the analysis sample set through the Sobol index method to obtain the impact of complex information systems. Sensitive indicators of performance. The specific implementation steps are as follows:

[0021] 1. Efficacy Evalu...

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Abstract

The invention discloses a global sensitivity analysis method for complex information system performance, which includes: experimental design of initial sample generation; construction of performance evaluation model; generation of proxy model; experimental design of sensitivity analysis data generation; Sensitivity analysis: By adjusting the value of sensitive indicators, the system performance can be maximized, and then the system components associated with them can be found by sensitive indicators, and improved according to the values. The advantages of the present invention are: for complex information system efficiency evaluation model with many parameters, high dimensions, wide range of values, and complex evaluation process, the agent model based on extreme learning machine is introduced to replace the complex efficiency evaluation model, and the global model based on variance is used. Sensitivity analysis method, improving the performance of complex information systems within a limited budget and time, invented a sensitivity analysis method to quickly improve complex information systems.

Description

technical field [0001] The invention relates to an analysis method for efficiently improving the effectiveness of complex information systems, especially for the complex information system simulation experiment process is complicated and the consumption of manpower and material resources is huge, and a simple and easy-to-use mathematical analysis method is proposed, combined with the global sensitivity based on the extreme learning machine Analytical methods, which efficiently improve the performance of complex systems, belong to the interdisciplinary field of systems engineering and information science. Background technique [0002] In today's era, with the development of science and technology and the continuous advancement of the information revolution, the information in the global field has shown an increasingly fierce explosive growth. Reasonable use of these information resources, extraction of valuable clues in the information, and utilization and development of them ...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/04G06N3/08
Inventor 张德平董雪
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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