基于BP算法的应急物流网络构建研究

The Construction of Emergency Logistics Network based on BP Algorithm

物流作为"第三利润源泉"对经济活动的影响日益明显,越来越受到人们的重视,现代物流业呈稳步增长态势,中国物流行业起步较晚,随着国民经济的飞速发展,中国物流行业保持较快增长速度,运用人工神经网络主要指模仿人类的思维,属于非线性动力学系统,主要特点是分布式保存信息进行协同处理。研究构建基于BP算法的应急物流网络,及通过启发式方法的研究,可完成理论建模和仿真的实现,具有重要的理论意义和实践意义。

As"the third profit source",the influence of logistics on the economic activities has become increasingly apparent,increasingly get people's attention.The modern logistics industry grows steadily.China's logistics industry started relatively late.With the rapid development of national economy,China's logistics industry maintains rapid growth.Using artificial neural network is to imitate the human mind and belongs to the nonlinear dynamic system.Its main characteristic is the coordination of distributed stored information.Based on BP algorithm and heuristic method,the research of emergency logistics network can complete theoretical modeling and simulation,which has important theoretical and practical significance.