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针对战区装备保障点动态选址问题的广义最大覆盖选址模型,综合分析传统的启发式算法全局、局部搜索中的 优缺点,提出一种基于BP神经网络的遗传模拟退火算法,并将其运用于战区装备保障点动态选址决策实际同题中,对该算法 进行了仿真研究,给出具体实例的仿真结果验证了该算法求解最优解的高效性以及运算的高收敛速度。-Considering the generalized maximal covering location model of dynamic locating on war zone equipments support system,we synthetically analyses the virtues and disadvantages of conventional total and partial searching algorithm,presents an algorithm based on BP neural network in genetic algorithm and simulated annealing algorithm,
Date : 2026-01-03 Size : 331kb User : asda

本文结合遗传算法对BP算法进行优化,建立了改进的BP神经网络模型。最后,充分利用MATLAB语言的各自优势,进行编程-In this paper, the genetic algorithm to optimize BP algorithm, establish an improved BP neural network model. Finally, make full use of their respective advantages MATLAB language programming
Date : 2026-01-03 Size : 2kb User : 刘峥峥

利用遗传算法,对神经网络中的参数进行迭代优化,进而使神经网络更加强大(Using the genetic algorithm, the parameters in the neural network are iteratively optimized to make the neural network more powerful.)
Date : 2026-01-03 Size : 11kb User : 三石城
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