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线膛火炮身管剩余寿命的神经网络模型研究
引用本文:刘沃野,李韵平.线膛火炮身管剩余寿命的神经网络模型研究[J].军械工程学院学报,1995(3).
作者姓名:刘沃野  李韵平
作者单位:军械工程学院兵器测试中心,军械工程学院兵器测试中心 石家庄 050003,石家庄 050003
摘    要:利用前馈式人工神经网络方法,根据试验数据,建立了某火炮身管剩余寿命(RL)模型;并用该模型研究了各特征截面内径改变量对弹丸初速改变量的影响,以及弹丸初速改变量与总内径改变量间的关系。

关 键 词:人工神经网络  弹丸初速  身管剩余寿命  烧蚀弹道

STUDY ON THE REMAINING LIFE MODEL OF THE RIFLED BARREL BY THE ARTIFICIAL NEURAL NETWORK
Liu Woye Li Yunping.STUDY ON THE REMAINING LIFE MODEL OF THE RIFLED BARREL BY THE ARTIFICIAL NEURAL NETWORK[J].Journal of Ordnance Engineering College,1995(3).
Authors:Liu Woye Li Yunping
Institution:Centre of Weapons Test & Measurement
Abstract:According to the measurement data, the paper establishes a remaining life model of a rifled barrel by the feed-forward artificial neural network. Using this model, the paper studies the affection of the change of the bore diameter in each feature section to the initial velocity of projectile, and the relationship between the initial velocity of projectile and the total change of the bore diameter.
Keywords:artificial neural network  initial velocity of projectile  remaining life of barrel  erosion balistics
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