Combat Decision-Making Modeling Method Based on Genetic Neural Network
Junfeng Zhang, Qing Xue, Lin Chen, Qing Deng · 2019
Combat decision-making is a complex thinking process, and the decision-making model needs to consider multi-level and diversified factors. It is difficult to solve the problem of combat decision-making using the available mathematical model; our paper proposes a modeling method based on genetic neural network. Firstly, we analyze the nonlinear characteristics of the combat decision-making and expound the basic principles of neural network and genetic algorithm modeling; then put forward the decision-making method combining neural network and genetic algorithm. Followed by a description of the running process of the genetic neural network. Finally, we perform an experiment of the decision-making model. The feasibility of our proposed algorithm is proven by simulation data analysis.