兵工自动化2024，Vol.43Issue(7)：74-78,5.DOI:10.7690/bgzdh.2024.07.016
基于GA-BP神经网络战储仓库选址决策模型
Decision-making Model of War Storage Warehouse Location Based on GA-BP Neural Network
李晓星 1陈玲 1南旭东 1戴剑华1
作者信息
- 1. 国防科技大学电子对抗学院,合肥 230037
- 折叠
摘要
Abstract
In order to solve the problem of location decision of war storage depots in different strategic directions,a location decision model of war storage depots based on GA-BP neural network is proposed. By analyzing the influencing factors of the location of war storage depots,the decision index system of the location of war storage depots is constructed;Based on BP neural network,a location decision model is established,and genetic algorithm (GA) is used to optimize the weights and thresholds of back propagation (BP) neural network,and an example is given to prove that genetic algorithm optimization of BP neural network can improve the efficiency and accuracy of location decision. The results show that the research can provide ideas and methods for the site selection of war storage depots.关键词
遗传算法/GA-BP神经网络/战储仓库/选址决策Key words
genetic algorithm/GA-BP neural network/war storage warehouse/location decision分类
军事科技引用本文复制引用
李晓星,陈玲,南旭东,戴剑华..基于GA-BP神经网络战储仓库选址决策模型[J].兵工自动化,2024,43(7):74-78,5.
