摘要
由于服役环境变化剧烈和影响因素复杂,火箭炮状态变化具有非平稳、非线性的特点,为更准确对其进行预测,提出将模糊综合评判法和NARX神经网络相结合的方法,以某型火箭炮发火回路为例进行状态预测实验。结果表明,经过对影响因素进行模糊综合评分,NARX神经网络的规模减小且收敛速度提高,对火箭炮状态变化趋势的预测也更加精确。
The state change of the rocket launcher is non-stationary and non-linear.In order to predict the state of rocket launchers more accurately,this paper proposes a prediction method combining fuzzy comprehensive evaluation method and NARX neural network.Taking the firing circuit of a certain type rocket launcher as an example,the prediction experiment shows that after fuzzy comprehensive evaluation of the influencing factors,the NARX neural network converges faster during training and predicts the state change trend of the rocket launcher more accurately.
作者
王小召
张建新
张震
李永保
李锋
谢立中
WANG Xiaozhao;ZHANG Jianxin;ZHANG Zhen;LI Yongbao;LI Feng;XIE Lizhong(Hubei Jiangshan Heavy Industry Co.,Ltd.,Hubei Xiangyang 441005,China)
出处
《弹箭与制导学报》
北大核心
2021年第3期21-24,30,共5页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
装备预研兵器工业联合基金(6141B012102)资助。
关键词
火箭炮
状态预测
NARX
神经网络
模糊综合评判
发火回路
rocket launcher
state forecasting
NARX
neural network
fuzzy comprehensive evaluation
firing circuit
