火力与指挥控制2023，Vol.48Issue(11)：164-168,5.DOI:10.3969/j.issn.1002-0640.2023.11.025
基于深度置信网络的火炮炮口振动预测研究
A Study on the Prediction of Muzzle Vibration Based on DBN
高星 1高飞 1高原 1何泽源 1程春阳 1韩志贺2
作者信息
- 1. 北方自动控制技术研究所,太原 030006
- 2. 解放军31669部队,哈尔滨 150036
- 折叠
摘要
Abstract
The accurate data prediction of muzzle vibration can compensate for the random vibration error of the muzzle,which is of great significance for improving the precision of the equipped fire control system under high maneuvering conditions.In recent years,advances in machine learning methods have provided an effective way to improve the precision of data prediction.A muzzle vibration prediction model based on deep belief network is proposed,and the muzzle vibration data is predicted by five stages,definition stage,pre-processing stage,training stage,testing stage and evaluation stage.The results show that the prediction of muzzle vibration data by the deep belief network(DBN)can extract richer data features based on historical data,and the achieved prediction accuracy can be better than that of BP neural network.关键词
深度置信网络/炮口振动/时间序列预测/预测模型/火控系统Key words
deep belief network/muzzle vibration/time series prediction/prediction model/fire control system分类
信息技术与安全科学引用本文复制引用
高星,高飞,高原,何泽源,程春阳,韩志贺..基于深度置信网络的火炮炮口振动预测研究[J].火力与指挥控制,2023,48(11):164-168,5.
