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Volumn 87, Issue 2, 2007, Pages 231-240

Automatic design of growing radial basis function neural networks based on neighboorhood concepts

Author keywords

Classification; Clustering; k nearest neighbor method; Prototype selection; RBF

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CELL; CHEMOMETRIC ANALYSIS; CHEMOMETRICS; CONCEPTUAL FRAMEWORK; ERROR; PRIORITY JOURNAL; RADIAL BASIS FUNCTION NEURAL NETWORK; THEORETICAL MODEL;

EID: 34248524673     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2007.02.003     Document Type: Article
Times cited : (31)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.