The Study on the Gun Barrel Capability Based on BP Neural Network

摘要：

The capability of gun barrels influences the trajectory performance, and ultimately affects operational effectiveness. Through analyzing the capability of gun barrels, this article establishes five characters (initial velocity, bore pressure, firing accuracy , radial wear extent and the existence of early burst, blind, short round) that attributed gun barrel capability. The knowledge of Artificial Neural Network (ANN) is applied in comprehensive evaluation of naval gun barrel capability, and then the model of comprehensive evaluation is established. The BP arithmetic of batch disposition in descending grads with momentum degrades and the neural network tool kit of MATLAB was used to achieve BP neural network. The correctness of the model has been verified by calculating a certain example of naval gun barrel.

关键词： the capability of gun barrels BP neural network MATLAB

作者: FENG Changlin TIAN Fuqing YU Lin

作者单位: Dept. of Weaponry Eng., Naval Univ. of Engineering, Wuhan 430033 Naval Military Representative Office in Dalian, Dalian 116021,China

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）