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Volumn 19, Issue 6-7, 2006, Pages 830-837
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Self-organizing map algorithm and distortion measure
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Author keywords
Asymptotic convergence; Consistency; Distortion measure; Empirical processes; General neighborhood function; Glivenko Cantelli class; Self organizing map; Uniform law of large numbers
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Indexed keywords
ALGORITHMS;
NEURAL NETWORKS;
STATISTICAL METHODS;
ASYMPTOTIC CONVERGENCE;
CONSISTENCY;
DISTORTION MEASURE;
EMPIRICAL PROCESSES;
GENERAL NEIGHBORHOOD FUNCTION;
GLIVENKO-CANTELLI CLASS;
UNIFORM LAW OF LARGE NUMBERS;
SELF ORGANIZING MAPS;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
EMPIRICISM;
MATHEMATICAL ANALYSIS;
MATHEMATICAL MODEL;
PRIORITY JOURNAL;
SELF ORGANIZING MAP;
STATISTICAL ANALYSIS;
ALGORITHMS;
DATA INTERPRETATION, STATISTICAL;
MODELS, NEUROLOGICAL;
NEURAL NETWORKS (COMPUTER);
SEASONS;
SIGNAL PROCESSING, COMPUTER-ASSISTED;
WEIGHTS AND MEASURES;
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EID: 33746629417
PISSN: 08936080
EISSN: None
Source Type: Journal
DOI: 10.1016/j.neunet.2006.05.016 Document Type: Article |
Times cited : (11)
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References (11)
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