Supportability simulation output result credibility evaluation method based on echo state network

A technology of echo state network and output result, applied in neural learning method, design optimization/simulation, biological neural network model, etc., can solve problems such as limited application, achieve strong flexibility, fast training speed, and small data demand Effect

Active Publication Date: 2021-12-10
BEIHANG UNIV
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  • Description
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Problems solved by technology

However, its application in simulation reliability evaluation is still very limited.

Method used

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  • Supportability simulation output result credibility evaluation method based on echo state network
  • Supportability simulation output result credibility evaluation method based on echo state network
  • Supportability simulation output result credibility evaluation method based on echo state network

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Embodiment Construction

[0057] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0058] Such as figure 1 As shown, a method for evaluating the credibility of the output results of the guarantee simulation based on the echo state network is realized by the following steps:

[0059] S1, analysis of factors affecting the credibility of supportive simulation;

[0060] In the related theory of analysis of factors affecting simulation credibility, the side description of simulation credibility is divided into four categories: model credibility, data credibility, simulation system credibility, and simulation result credibility sex.

[0061] S11. Factor classification;

[0062] Aiming at the characteristics of discrete event simulation such as supportive simulation, based on the analysis theory of factors affecting the credibility of sim...

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Abstract

The invention discloses a supportability simulation output result credibility evaluation method based on an echo state network. The method comprises the steps of S1, analyzing the supportability simulation credibility influence factors; S2, quantifying the influence factors and the corresponding simulation results; S3, setting the factor combination to generate a data set; S4, constructing the echo state network; and S5, training, testing and using the echo state network. The method has the advantages that the limitation that the traditional method for evaluating the credibility of the simulation output result based on similarity or confidence must depend on the comparison with the reference data is avoided; the training speed is high, the flexibility is high, and the data demand is small; a new method is provided for researching the credibility of the complex device supportability simulation, and powerful support is provided for the application of the supportability simulation in model development.

Description

technical field [0001] The invention relates to the technical field of comprehensive support simulation of aviation equipment, in particular to a method for evaluating the credibility of support simulation output results based on an echo state network. Background technique [0002] Supportability evaluation plays an important role in analyzing the support characteristics of complex products and weighing and optimizing support schemes. As the structure, function and support system of aviation equipment products are becoming more and more complex, it is becoming more and more difficult to use traditional mathematical models to conduct supportability assessment. Therefore, more and more supportability assessment methods based on discrete event simulation are used in engineering practice. . In the process of assurance evaluation simulation, affected by factors such as modeling granularity, simulation algorithm accuracy, and software reliability, the simulation model and results...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/08
CPCG06F30/27G06N3/08Y02A90/10
Inventor 马麟崔宇航王乃超
Owner BEIHANG UNIV
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