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Volumn , Issue , 2004, Pages 192-198

Neural field model for perceptual learning

Author keywords

Dualistic correction leaning algorithm; Fractal principle; Neural field model; Perceptual learning; Topology approximation correction learning

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COGNITIVE SYSTEMS; COMPUTER ARCHITECTURE; DECISION SUPPORT SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; STATISTICAL METHODS; TOPOLOGY;

EID: 13944270610     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (14)
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    • Bredeche, N.1    Shi, Z.2    Zucker, J.-D.3
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    • Autoencoders, minimum description length and Helmholtz free energy
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    • Machine: A Bayesian Kullback scheme for unified learning and new results on vector quantization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.