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

作　　者：李晓星 陈玲[1] 南旭东 戴剑华 Li Xiaoxing;Chen Ling;Nan Xudong;Dai Jianhua(College of Electronic Engineering,National University of Defense Technology,Hefei 230037,China)

机构地区：[1]国防科技大学电子对抗学院,合肥230037

出　　处：《兵工自动化》2024年第7期74-78,共5页Ordnance Industry Automation

摘　　要：针对各战略方向战储仓库选址决策问题,提出基于GA-BP神经网络的战储仓库选址决策模型。通过分析战储仓库选址的影响因素,构建战储库选址决策指标体系;基于BP神经网络建立选址决策模型,运用遗传算法(geneticalgorithm,GA)对反向传播(backpropagation,BP)神经网络的权值和阈值进行优化,并给出实例证明遗传算法优化BP神经网络,可提高选址决策的效率和精准度。结果表明,该研究可为科学开展战储仓库选址工作提供思路和方法。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 

分 类 号：E233[军事—军事理论]