基于模糊BP神经网络的高原寒区弹药换算系数研究  

Research on Ammunition Conversion Coefficient of Plateau Cold Region Based on Fuzzy BP Neural Network

作　　者：史宪铭 赵汝东 骆兴远 张建军 宋星 SHI Xian-ming;ZHAO Ru-dong;LUO Xing-yuan;ZHANG Jian-jun;SONG Xing(Department of Equipment Command and Management,Army Engineering University,Shijiazhuang 050003,China;Xinjiang Military Area,Wulumuqi 830001,China;Unit 32140 of PLA,Shijiazhuang 050061,China)

机构地区：[1]陆军工程大学石家庄校区装备指挥与管理系,石家庄050003 [2]新疆军区,乌鲁木齐830001 [3]解放军32140部队,石家庄050061

出　　处：《火力与指挥控制》2020年第2期59-63,共5页Fire Control & Command Control

基　　金：军内科研基金资助项目(KYSZJWJK1744/012016012600B11403)。

摘　　要：针对高原寒区特殊复杂的作战背景,提出了一种基于模糊BP神经网络的弹药换算系数优化模型。该模型借助模糊隶属度将难以量化的弹药消耗影响因素定量化,以提高弹药换算系数的准确度。构建了弹药换算系数测算模型;分析了影响高原寒区弹药消耗的主要因素并进行了模糊量化,在此基础上建立模糊BP神经网络模型;通过仿真验证了优化后弹药换算系数的精确性。Aiming at the special and complicated combat background of the plateau cold region,this paper proposes an optimization model of ammunition conversion coefficient based on fuzzy BP neural network. The model quantifies the influencing factors of ammunition consumption that is difficult to be quantified by means of fuzzy membership degree to improve the accuracy of the ammunition conversion coefficient. Firstly,the ammunition conversion coefficent calculation model is constructed,and then the main factors affecting the ammunition consumption in the plateau cold region are analyzed and fuzzy quantified. Based on this,a fuzzy BP neural network model is established. Finally,the accuracy of the optimized ammunition conversion coefficient is verified by simulation.

关 键 词：换算系数 高原寒区 BP神经网络 模糊隶属度 

分 类 号：TJ41[兵器科学与技术—火炮、自动武器与弹药工程]