Grey Synthetical Prediction Model of Military Logistics Based on Evolutionary Neural Network

The paper applies the neural network to the prediction of the military logistics, it has proposed a kind of grey synthetical prediction model based on the evolutionary neural network. It applies the global searching method of the genetic algorithm to the neural network and provides different data processing methods adding the grey theory to carry on the prediction. It has improved the precision of prediction. Apply the algorithm to instance simulation; the result indicates that the grey prediction performance is obviously better than model of grey GM (1, 1) based on the evolutionary neural network.