Spares Consumption Prediction Based on BP Neural Network

Design the algorithm of BP neural network applied to the spares consumption prediction, according to the annual flight plan, ascertain the input layer neurons of network, put forward the methods to determine the number of hidden layer neurons, as well as initial weights and deviation to cause the network with good generalization and make certain to get the optimal solution. Through practical examples prove the validity of the model, and analyze its applicability.