A comparison between habituation and conscience mechanism in self-organizing maps

IEEE Transactions on Neural Networks

Volumn 17, Issue 3, 2006, Pages 807-810

  Rizzo, Riccardo ^a   Chella, Antonio ^b  

^a ICAR CNR   (Italy)

^b UNIVERSITY OF PALERMO   (Italy)

Author keywords

Conscience learning; Habituation; Self organizing feature maps; Unsupervised learning

Indexed keywords

LEARNING ALGORITHMS; LEARNING SYSTEMS; MAXIMUM PRINCIPLE; PRINCIPAL COMPONENT ANALYSIS;

CONSCIENCE LEARNING MECHANISM; HABITUATION MODEL; UNSUPERVISED LEARNING;

SELF ORGANIZING MAPS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; CONSCIENCE; HABITUATION; INFORMATION RETRIEVAL; LETTER; METHODOLOGY; SYSTEMS THEORY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CONSCIENCE; HABITUATION, PSYCHOPHYSIOLOGIC; INFORMATION STORAGE AND RETRIEVAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SYSTEMS THEORY;

EID: 33646528177     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.872354     Document Type: Article

References (9)

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