Introduction of threshold self-adjustment improves the convergence in feature-detective neural nets

Neurocomputing

Volumn 32-33, Issue , 2000, Pages 385-390

  Gorchetchnikov, Anatoli ^a  

^a MIDDLE TENNESSEE STATE UNIVERSITY   (United States)

Author keywords

Synaptic adaptation; Threshold dynamics; Unsupervised learning

Indexed keywords

BRAIN MODELS; CELLS; COGNITIVE SYSTEMS; DIFFERENTIAL EQUATIONS; LEARNING SYSTEMS; MATHEMATICAL MODELS;

SYNAPTIC ADAPTATION; THRESHOLD DYNAMICS; UNSUPERVISED LEARNING;

NEURAL NETWORKS;

ADAPTATION; ADJUSTMENT; ARTICLE; COGNITION; CONTROLLED STUDY; MATHEMATICAL MODEL; MEMORY; NERVE CELL NETWORK; PERCEPTIVE THRESHOLD; PRIORITY JOURNAL; SYNAPSE; WEIGHT;

EID: 0033940004     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(00)00190-9     Document Type: Article

References (8)

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