电波科学学报2012，Vol.27Issue(5)：1056-1060,5.
基于神经网络的导体柱单站微波成像
Monostatic microwave imaging method for conductor cylinder based on neural network
摘要
Abstract
A microwave imaging method for monostatic using neural network is proposed in this paper. Firstly,the TM mode scattering data of different shapes of conductor cylinder are obtained by finite-difference time-domain(FDTD)method. And all these data are taken as training samples for neural network. A hybrid self-learning strategy based on integral differential evolution strategy and BP algorithm is presented, which can improve self-learning capability of system and overcome the drawbacks of single BP neural network, such as slow astringency. Finally, the satisfactory results of two-dimensional microwave imaging are reached by using the optimized neural network.关键词
微波成像/时域有限差分法（FDTD）/神经网络（NN）Key words
microwave imaging/finite-difference time-domain/neural network分类
信息技术与安全科学引用本文复制引用
刘昆,杨了,夏晴,唐涛..基于神经网络的导体柱单站微波成像[J].电波科学学报,2012,27(5):1056-1060,5.基金项目
基金项目：成都信息工程学院科研基金资助 （）
四川省教育厅2011年重点科研项目 （）
