A Research into the Forecasting Method of Military Emergency Logistics Support Basing on Neural Network

This paper studies the forecasting method of military emergency logistics basing on BP neural network. Firstly, the concept of emergency military logistics forecast is put forward. And then, the basic procedure of the forecast is introduced. The characteristics of several forecasting methods are compared. Later the structure, feature and training method of BP neural network are introduced. On this basis, a combining forecasting method basing on BP neural network is designed to forecast emergency military logistics. The result of the experiment proves that the algorithm can forecast emergency military logistics accurately.