Variance change point detection via artificial neural networks for data separation

Neurocomputing

Volumn 68, Issue 1-4, 2005, Pages 239-250

  Oh, Kyong Joo ^a   Moon, Myung Sang ^b   Kim, Tae Yoon ^c  

^a Yonsei University   (South Korea)

^b Yonsei University Wonju   (South Korea)

^c Keimyung University   (South Korea)

Author keywords

Artificial neural networks; Discriminant analysis; Nonparametric and data adaptive method; Pattern classification; Variance change point detection

Indexed keywords

COMPUTER SIMULATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; PATTERN RECOGNITION; SET THEORY; STATISTICAL METHODS; TIME SERIES ANALYSIS; VARIATIONAL TECHNIQUES;

DATA SEPARATION; DATA-ADAPTIVE METHOD; DISCRIMINANT ANALYSIS; NONPARAMETRIC METHOD; VARIANCE CHANGE POINT DETECTION;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; DATA ANALYSIS; DEVICE; DISCRIMINANT ANALYSIS; MATHEMATICAL COMPUTING; NONPARAMETRIC TEST; PRIORITY JOURNAL;

EID: 24144455933     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.05.005     Document Type: Article

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