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基于神经网络的物流中心选址算法设计
引用本文:杨武俊.基于神经网络的物流中心选址算法设计[J].河南科学,2014(1):54-56.
作者姓名:杨武俊
作者单位:运城学院公共计算机教学部,山西运城044000
摘    要:传统物流中心选址模型存在种种局限,通过建立BP神经网络选址模型,提高神经网络的泛化能力,在解决非线性系统的物流中心选址问题中取得了较高的精度和效率,使得网络的运行时间显著降低,为物流中心选址优化提供了一种新的方法.

关 键 词:物流中心  选址优化  权重  BP神经网络  指标体系

Algorithm Design of Logistics Center Locating Based on Neural Network
Yang Wujun.Algorithm Design of Logistics Center Locating Based on Neural Network[J].Henan Science,2014(1):54-56.
Authors:Yang Wujun
Institution:Yang Wujun (Public Department of Computer Teaching, Yuncheng University, Yuneheng 044000, Shanxi China)
Abstract:Because of limitations of traditional model for logistics center location,the author establishes BP neural network location model to improve the generalization ability of neural network. It obtains a high accuracy and efficiency in solving the logistics center location problem in nonlinear system,so that the running time of the network reduces significantly,which provides a new method for optimization of logistics center location.
Keywords:logistics centre  locating optimization  weight  BP neural network  index system
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