LVQ combined with simulated annealing for optimal design of large-set reference models

Neural Networks

Volumn 9, Issue 2, 1996, Pages 329-336

  Song, Hee Heon ^b   Lee, Seong Whan ^a  

^a Korea University   (South Korea)

^b NONE

Author keywords

large set pattern recognition; learning vector quantization; optimal design of large set reference models; simulated annealing; vector quantization

Indexed keywords

DESIGN; LEARNING SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; PATTERN RECOGNITION; SIMULATED ANNEALING; VECTORS;

LARGE SET PATTERN RECOGNITION; LARGE SET REFERENCE MODELS; LEARNING VECTOR QUANTIZATION; OPTIMAL DESIGN;

VECTOR QUANTIZATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; PATTERN RECOGNITION; PRIORITY JOURNAL;

EID: 0030111094     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(95)00022-4     Document Type: Article

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