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分析了装甲器材需求量影响因素,将灰色预测与神经网络预测方法相结合,建立了装甲器材需求量预测的灰色神经网络计算模型。该模型具有灰色系统的少数据建模及神经网络的精度可控性等优点,能较好地解决目前装甲器材需求预测精度不高的问题,可为装甲器材管理部门制定订购、调拨计划提供决策依据。
Analyzed the influencing factors of the demand of armored equipment, combined the gray prediction with the neural network prediction method, established the gray neural network calculation model of the armored equipment demand forecasting. The model has the advantages of less data modeling of gray system and controllability of neural network accuracy, which can well solve the problem of poor forecasting accuracy of armored equipment demand and can provide decision-making for armored equipment management department to make order and transfer plan in accordance with.