The invention discloses a rEapid quipment efficiency evaluation result rapid analysis method based on a meta-model analysis method for an equipment efficiency evaluation result based on a meta-model

Abstract

The invention provides an equipment efficiency evaluation result rapid analysis method based on a meta-model. theThe meta-model technology is introduced into the weapon equipment combat effectivenessevaluation modeling and evaluation result analysis process; T; the method depends on an attack-defense confrontation simulation deduction system. Analyzing and assessing task requirements, constructing an efficiency assessment index system, designing a simulation experiment according to input and output indexes of the assessment index system, obtaining a training and testing sample data set of theefficiency assessment meta-model, and fitting sample data by adopting a BP neural network model improved by a particle swarm algorithm to obtain a simplified meta-model of the efficiency assessment problem meeting the precision requirement; A; and an extended fast Fourier transform global sensitivity analysis algorithm is used to evaluate the analysis efficiency problems and sort the analysis efficiency problems from large to small. The method is suitable for digital modeling of the efficiency evaluation problem, rapid analysis of the sensitivity of the efficiency evaluation index and miningof the key battle technical index influencing the battle efficiency of the equipment.

Description

Technical field [0001] The invention relates to the field of weapon equipment combat effectiveness evaluation, in particular to a digital modeling of weapon equipment effectiveness evaluation models and a rapid analysis method of evaluation results. Background technique [0002] The combat effectiveness evaluation of weapon equipment needs to be carried out in the context of confrontation. There are many uncertain factors in the effectiveness evaluation process, and the evaluation indicators are coupled with each other. The weight of each indicator is difficult to determine, and the effectiveness evaluation problem presents nonlinear characteristics. The commonly used analytical approach cannot accurately give the mathematical model of this nonlinear process, and the evaluation index weighting process is not objective, resulting in low confidence in the evaluation modeling and doubtful conclusions about the effectiveness evaluation. [0003] Combat simulation method can carry out f...

AI Technical Summary

Problems solved by technology

The commonly used analytical approach cannot accurately give the mathematical model of this nonlinear process, and the evaluation index weighting process is not objective, resulting in low confidence in evaluation modeling and doubtful conclusions about effectiveness evaluation

[0003] The combat simulation method can carry out all-element modeling for the combat effectiveness evaluation of weapons and equipment, making the research b...

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