Method for evaluating weapon combat effectiveness in meteorological environment based on DGWO-SVM

Abstract

The invention discloses a DGWO-SVM-based weapon combat effectiveness evaluation method in a meteorological environment. The method comprises the following steps: step 1, acquiring meteorological environment factors influencing weapon combat effectiveness; 2, taking the meteorological environment factors influencing the weapon combat effectiveness as the input of a weapon combat effectiveness evaluation model, taking the weapon combat effectiveness evaluation value as the output of the weapon combat effectiveness evaluation model, and constructing the weapon combat effectiveness evaluation model; 3, applying a support vector machine SVM adopting a radial basis kernel function to the weapon combat effectiveness evaluation model; step 4, performing optimization selection on penalty factors and kernel function parameters in a support vector machine adopting a radial basis kernel function by applying a grey wolf optimization algorithm DGWO for strengthening leader decision-making ability; and 5, applying the optimal penalty factor to the weapon combat effectiveness evaluation model by using kernel function parameters to obtain an optimal weapon combat effectiveness evaluation result. Therefore, the accuracy of weapon combat effectiveness evaluation is improved.

Description

technical field [0001] The invention relates to the technical field of evaluating weapon combat effectiveness under computer and meteorological environment, in particular to a method for evaluating weapon combat effectiveness under meteorological environment based on DGWO-SVM. Background technique [0002] With the continuous development of militarization, how to measure the combat effectiveness of weapons and equipment has become a very important research topic. A large number of combat forces, a high degree of informatization, and an increase in battlefield uncertainties are the characteristics of modern warfare. Combat effectiveness is an important indicator to measure whether combatants and their weaponry systems can win in combat. Weapon combat effectiveness evaluation is to use certain methods to measure the effectiveness of weapons to complete specific tasks. Through the evaluation, the proportion of weapon equipment configuration can be optimized to provide a basis f...

AI Technical Summary

Problems solved by technology

Jiang Xiaojun, Li Weimin and others based on parameter optimized SVM conducted research on the combat performance of weapons and equipment under the influence of marine environment. Compared with neural network, this model can better deal with the problem of small samples, but if there are noise and The outlier point is easy to reduce the generalization performance of the model (Jiang Xiaojun, Li Weimin, Xiao Jinke. Optimization of SVM joint combat battlefield construction scheme based on parameter optimization[J]. Firepower and Command and Control, 2017,42(07):110-113 +123.)

Zhang Jinshuang, Liang Shujie and others proposed a method based on GWO to optimize the parameters of support vector machines. This method has strong adaptability and high optimization efficiency, but it has disadvantages such as easy stagnation in the development stage and slow convergence speed in the later stage (Zhang Jinshuang, Liang Shujie, Zuo Jing Long. Research on Internet of Things Intrusion Detection Based on GWO-SVM Algorithm [J]. Information Technology and Network Security, 2020,39(10):44-48.)

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