Demand Forecast for Air-Launched Missile Spare Based on BP Neural Network
Feng Zhang · Journal of Naval Aeronautical and Astronautical University · 2010
For circumstance that support information about air-launched missile spare being fairly comprehensive at the evening of missile deployment, after analyzing and quantizing influencing factor of spare demand, BP-NN forecast model was used for the prediction. It is shown that BP neural network model make use of various data and can effectively improve reliability and accuracy of forecasting.