Optimization of emergency logistics network based on BP algorithm

This paper aims to discuss the optimization strategy of emergency logistics network based on BP algorithm. Traditional logistics network optimization methods are often unable to cope with the complexity and uncertainty of emergency logistics, so this paper introduces BP algorithm to improve the response speed and optimization effect of emergency logistics network. By inputting the data of the emergency logistics network into the BP neural network, the algorithm can automatically learn and adjust the weight of the network, so as to realize the optimization of the logistics network. The experimental results confirm that the optimization strategy has achieved remarkable results in finding the optimal logistics route and improving logistics efficiency, and provides strong support for the rapid deployment and efficient utilization of emergency materials.