基于神经网络的电子地图最优路径研究

Optimal Path of Electronic Maps Based on Neural Network

现阶段电子地图的应用已经深入到各行各业,最优路径的查找及规划作为GIS的一个关键问题,成为研究的一个难点,本文提出一种基于Hopfield神经网络的方法来解决地图最优路径问题。以物流配送中的车辆路径最优化为例,先根据Hopfield神经网络模型研究基于Hopfield的最优路径算法,然后探讨和验证该算法的可行性、实用性,最后通过算例分析对该方法进行验证。

In this stage the application of the electronic map has depth into all walks of life, the optimal path finding and planning as a key issue in GIS, has become a difficult point of research in GIS. This paper presents a Hopfield neural network-based approach to solve map optimal path problem. Taking a vehicle routing optimization of modem logistics distribution for example, Hopfield neural network model based on Hopfield optimal path algorithm is presented to verify the feasibility, practicality of the model. In the end, validation of this method is made through an example.