Antenna Recognition Based on BP Neural Network

摘要：

　　This paper studies several commonly used algorithms in the BP neural network.Training the BP neural network under these different algorithms can see the various performance of their networks.The study of both classical BP algorithm and LM algorithm will find the improvements of LM algorithm.In addition,practical applications show the following two things.For one hand,different BP algorithm impacts the speed of the network.For the other,the number of hidden layer neurons is also a sensitive factor to the performance of BP neural network.On the basis of the BP neural network,we want to build a suitable antenna model and use it in the identification of the antennas,it will have great practical significance.

关键词： BP neural network hidden layer nodes classic BP algorithm LM algorithm

作者: Chunyan Zhao Dan Shi Yougang Gao

作者单位: School of Electronic Engineering,Beijing University of Posts and Telecommunications Beijing,100876,PR.China

会议类型: 国际会议

会议名称: Asia-Pacific Conference on Environmental Electromagnetics (2012年第六届亚太环境电磁学会议(CEEM 2012))

会议地点: 上海

会议语种:英文

页码: 355-359

在线出版日期: 2012-11-06（万方平台首次上网日期，不代表论文的发表时间）