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应用BP神经网络的武器装备维修性预测模型研究
引用本文:李执力,傅鹏程,段俊斌.应用BP神经网络的武器装备维修性预测模型研究[J].战术导弹技术,2008(4).
作者姓名:李执力  傅鹏程  段俊斌
作者单位:63961部队
摘    要:利用人工神经网络及BP网络理论,在对武器装备维修性预测评估指标体系分析的基础上,应用神经网络的BP算法建立了武器装备系统的维修性预测模型,并结合小口径高炮的实例验证了模型,效果较好.

关 键 词:神经网络  维修性模型  BP算法

Study of Maintainability Prediction Model of Weapon System Based on Neural Network Algorithm
Li Zhili,Fu Pengcheng,Duan Junbin.Study of Maintainability Prediction Model of Weapon System Based on Neural Network Algorithm[J].Tactical Missile Technology,2008(4).
Authors:Li Zhili  Fu Pengcheng  Duan Junbin
Affiliation:Li Zhili,Fu Pengcheng,Duan Junbin(Army 63961,Beijing 100012,China)
Abstract:The theory of artificial neural network is used,and new maintainability model of weapon system is presented,which can be used to estimate the maintainability of weapon system on the base of maintainability prediction index system.This model is applied to the maintainability prediction of anti-aircraft gun.The example shows that the model is effective.
Keywords:neural network  maintainability model  BP algorithm  
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