中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The united adaptive learning algorithm for the link weights and shape parameter in RBFN for pattern recognition

文献类型:期刊论文

作者Huang, DS
刊名INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
出版日期1997-09-01
卷号11期号:6页码:873-888
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
英文摘要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.
语种英语
WOS记录号WOS:A1997YC99200002
源URL[http://ir.ia.ac.cn/handle/173211/21912]  
专题自动化研究所_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.

入库方式: OAI收割

来源:自动化研究所

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