Study on model of battlefield ammunition consumption forecast
Cui Yu-quan, Zhenbo Li, Zhao Guanglei, Shi Kai-quan · Systems engineering and electronics · 2007
In order to forecast the battlefield ammunition consumption accurately,first all factors that affect the ammunition consumption are divided into l kinds.Then n experts appraise every factor,give marks and construct l evaluation matrices.After the data of evaluation matrices being pre-handled,the orders of the evaluation matrices are reduced by using the method of project pursuit and l synthesis evaluation indexes are gotten.Last the l synthesis evaluation indexes are taken as inputs,the actual ammunition consumptions are taken as target outputs and the neural network is trained.After being trained the weight parameters of neural network are obtained and the neural network construction is determined.Thus the forecast of a new battlefield ammunition consumption can be realized by using the neural network.