The united adaptive learning algorithm for the link weights and shape parameter in RBFN for pattern recognition

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	The united adaptive learning algorithm for the link weights and shape parameter in RBFN for pattern recognition
	Huang, DS
发表期刊	INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
	1997-09-01
卷号	11 期号:6 页码:873-888
文章类型	Article
摘要	This paper proposes a united training method of the link weights of the Gaussian radial basis function networks (GRBFN) and the shape parameter or of the RBF. The training method corresponding to the former is a kind of recursive least squares backpropagation (RLS-BP) learning algorithm which is an accurately recursive method, the training method corresponding to the latter is an adaptive gradient descending (AGD) searching algorithm which is an approximately approaching method. We use the one-dimensional images of radar targets to study the effect of the shape parameter alpha on the rate of recognition, and survey the changes of the shape parameter alpha s of radial basis functions corresponding to different hidden nodes, and present the judgement confidence curves of different radar targets. In addition, the forgotten factor lambda which makes the effects on the speed of convergence is also discussed. The experimental results are presented.
关键词	Neural Networks Recognition Radial Basis Function Network Gaussian Kernel Function Shape Parameter Forgotten Factor Recursive Least Squares Adaptive Gradient Descending One-dimensional Image
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:A1997YC99200002
引用统计	被引频次：39[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21912
专题	09年以前成果
作者单位	CHINESE ACAD SCI, INST AUTOMAT, NATL LAB PATTERN RECOGNIT, BEIJING 100080, PEOPLES R CHINA
推荐引用方式 GB/T 7714	Huang, DS. The united adaptive learning algorithm for the link weights and shape parameter in RBFN for pattern recognition[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,1997,11(6):873-888.
APA	Huang, DS.(1997).The united adaptive learning algorithm for the link weights and shape parameter in RBFN for pattern recognition.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,11(6),873-888.
MLA	Huang, DS."The united adaptive learning algorithm for the link weights and shape parameter in RBFN for pattern recognition".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 11.6(1997):873-888.