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基于灰色三角BP神经网络的装备训练需求预测研究
引用本文:窦云杰,时和平,王上军.基于灰色三角BP神经网络的装备训练需求预测研究[J].装备指挥技术学院学报,2010,21(6):114-118.
作者姓名:窦云杰  时和平  王上军
作者单位:[1]西安通信学院研究生管理大队,陕西西安710106 [2]西安通信学院通信指挥系,陕西西安710106
摘    要:针对装备训练需求预测这一问题,通过分析影响训练装备需求量的因素以及部件消耗数据自身的周期性特点,提出一种基干灰色三角BP神经网络(triangle grey model—BP neklral network,TGM—BP)的组合预测模型。给出了此模型的建馍步骤,并针对具体实例进行解释,结果表明,该模型能够明显提高装备训练需求预测精度和保障效率。

关 键 词:BP神经网络  灰色三角模型  需求预测  精确保障

Study on Equipment Training Requirement Forecasting Based on TGM-BP Neural Network
DOU Yunjie,SHI Heping,WANG Shangjun.Study on Equipment Training Requirement Forecasting Based on TGM-BP Neural Network[J].Journal of the Academy of Equipment Command & Technology,2010,21(6):114-118.
Authors:DOU Yunjie  SHI Heping  WANG Shangjun
Affiliation:(l. Company of Postgraduate Management, Xi'an Communication College, Xi'an Shaanxi 710106, China; 2. Department of Communication Command, Xi'an Communication College, Xi'an Shaanxi 710106, China)
Abstract:To the qucstion of the forecasting of practice courses expendable requirement, this paper puts forward an equipment requirement estimation method based on triangle grey model-BP (TGM-BP) neural network model by analyzing every influence factors and seasonal characteristics of the expendable data. The paper also presents modeling steps of this model, and explains with an example of one electrograph course, h proves that this method can improve the precision of training equipment estimation and support efficiency very much.
Keywords:BP (error back propagation) neural network  triangle grey model (TGM)  require forecasting  precise support
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