火力与指挥控制2025，Vol.50Issue(10)：88-93,100,7.DOI:10.3969/j.issn.1002-0640.2025.10.011
火炮身管烧蚀磨损量的GA-BP灰色组合模型预测方法
GA-BP Grey Combined Model for Predicting Ablative Wear of Gun Barrel
于晓1
作者信息
- 1. 中国人民解放军32201部队,吉林 白城 137001
- 折叠
摘要
Abstract
The thermal,chemical and mechanical friction between the projectile and the barrel result in ablation and wear of the barrel during firing.The grey GM(1,1),Verhulst and linear regression prediction models are proposed based on the analysis of characteristics of the ablative wear of gun barrel,and the BP neural network model optimized by GA(genetic algorithm)is introduced.The combined model is eatablished to predice the ablative wear of gun barrel.The results show that the prediction result of GA-BP grey combined model is closer to the actual vaule,and the prediction accuracy is highter.关键词
GM(1,1)模型/Verhulst模型/线性回归模型/组合模型/火炮身管烧蚀磨损量Key words
GM(1,1)model/verhulst model/linear regression model/combination model/ablative wear amount of gun barrel分类
武器工业引用本文复制引用
于晓..火炮身管烧蚀磨损量的GA-BP灰色组合模型预测方法[J].火力与指挥控制,2025,50(10):88-93,100,7.
