现代防御技术2013，Vol.41Issue(3)：185-191,7.DOI:10.3969/j.issn.1009-086x.2013.03.034
神经网络在精确打击目标识别中的应用研究
Research and Application of Neural Network in Targets Recognition of Accurate Strike
李丽荣 1王从庆1
作者信息
- 1. 南京航空航天大学自动化学院,江苏南京210016
- 折叠
摘要
Abstract
Targets recognition directly affects the arrangement,distribution and effective attack of antiaircraft fire.BP neural network is used to recognize targets for accurate strike and a simulation experiment is made.Sample storage is set up; moment invariant of the pictures is taken as the input of the neural network.Basic gradient descent algorithm,gradient descent with momentum and adaptive learning rate algorithm and Levenberg-Marguardt (LM) optimization algorithm are employed to train BP network.The simulation results show that the moment invariant theory can resolve the problem of two-dimensional image character collection after revolution,translation and scaling.The BP neural network using LM optimization algorithm achieves a good classification precision and speed.关键词
神经网络/目标识别/BP算法/不变矩Key words
neural network / target recognition / BP algorithm / moment invariant分类
信息技术与安全科学引用本文复制引用
李丽荣,王从庆..神经网络在精确打击目标识别中的应用研究[J].现代防御技术,2013,41(3):185-191,7.
