基于GA-BP 神经网络战储仓库选址决策模型
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Decision-making Model of War Storage Warehouse Location Based on GA-BP Neural Network
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    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 (genetic algorithm,GA)对反向传播(back propagation,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。

    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.

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李晓星.基于GA-BP 神经网络战储仓库选址决策模型[J].,2024,43(07).

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  • 收稿日期:2024-03-08
  • 最后修改日期:2024-04-15
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  • 在线发布日期: 2024-07-08
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