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基于灰色神经网络的装甲器材需求量预测
引用本文:卢庆龄,白盟亮,彭艳丽,张文俊. 基于灰色神经网络的装甲器材需求量预测[J]. 装甲兵工程学院学报, 2011, 25(6): 19-22
作者姓名:卢庆龄  白盟亮  彭艳丽  张文俊
作者单位:装甲兵工程学院技术保障工程系,北京,100072
摘    要: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。

关 键 词:灰色神经网络  装甲器材  需求量  预测

Armored Equipment Requirement Forecasting Based on Grey Neural Network
LU Qing-ling,BAI Meng-liang,PENG Yan-li,ZHANG Wen-jun. Armored Equipment Requirement Forecasting Based on Grey Neural Network[J]. Journal of Armored Force Engineering Institute, 2011, 25(6): 19-22
Authors:LU Qing-ling  BAI Meng-liang  PENG Yan-li  ZHANG Wen-jun
Affiliation:LU Qing-ling,BAI Meng-liang,PENG Yan-li,ZHANG Wen-jun(Department of Technical Support Engineering,Academy of Armored Force Engineering,Beijing 100072,China)
Abstract:A grey neural network computation model of armored equipment requirement forecasting is set up on the basis of analyzing armored equipment requirement influence factors and combining grey forecasting and neural network forecasting method.This model boasts of an advantage of precision controllable and few data characteristics,can solve low precision of armored equipment requirement forecasting and provide decision evidence for armored equipment management department to make order plan.
Keywords:grey neural network  armored equipment  requirement  forecast  
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