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用神经网络建立反后坐装置参数对其性能的影响模型
引用本文:贾长治,杜中华,杨通强,薛德庆.用神经网络建立反后坐装置参数对其性能的影响模型[J].军械工程学院学报,1998(4).
作者姓名:贾长治  杜中华  杨通强  薛德庆
作者单位:军械工程学院火炮与自动武器教研室!石家庄,050003,军械工程学院火炮与自动武器教研室!石家庄,050003,军械工程学院火炮与自动武器教研室!石家庄,050003,军械工程学院火炮与自动武器教研室!石家庄,050003
摘    要:详细分析火炮反后坐装置影响因素基础上,用人工神经网络建立了完整的反后坐装置参数对其性能的影响模型,运用算例证明了神经网络在反后坐装置中应用的可行性。所提出的提灌法使网络的学习更加灵活,收敛更快。

关 键 词:人工神经网络  反后坐装置  提灌法  数值模拟

THE EFFECT OF RECOIL SYSTEM'S PARANETER ON ITS PERFORMANCE AND MODELING WITH ARTIFICIAL NEURAL NETWORKS
Jia Changzhi, Du Zhonghua, Yang Tongqiang, Xue Deqing.THE EFFECT OF RECOIL SYSTEM'S PARANETER ON ITS PERFORMANCE AND MODELING WITH ARTIFICIAL NEURAL NETWORKS[J].Journal of Ordnance Engineering College,1998(4).
Authors:Jia Changzhi  Du Zhonghua  Yang Tongqiang  Xue Deqing
Institution:Teaching and Research Section of Artillery and Auto Weapon
Abstract:Based on the detailed discussion of the effect of recoil system's parameter on itsperiormance, the model of the relations between recoil system's working property and its influencing factors is established by using ADN. The feasibility and effectiveness of the application ofAam in the recoil field are validated by the results of numerical simulation. The lift - irrigatenlethed makes the BP network study flexible and controllable.
Keywords:artificial neural network  recoil system  lift - irrigate method  numerical simulation
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