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Volumn 13, Issue 5, 2003, Pages 291-305
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Entropy learning and relevance criteria for neural network pruning.
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Author keywords
[No Author keywords available]
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Indexed keywords
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
ARTIFICIAL NEURAL NETWORK;
BIOLOGICAL MODEL;
BIOLOGY;
COMPARATIVE STUDY;
COMPUTER SIMULATION;
ENTROPY;
FEEDBACK SYSTEM;
HUMAN;
LEARNING;
MEMORY;
SENSATION;
TEACHING;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
COMPUTATIONAL BIOLOGY;
COMPUTER SIMULATION;
ENTROPY;
FEEDBACK;
GENERALIZATION (PSYCHOLOGY);
HUMANS;
LEARNING;
MEMORY;
MODELS, NEUROLOGICAL;
NEURAL NETWORKS (COMPUTER);
SENSATION;
TEACHING;
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EID: 1542435014
PISSN: 01290657
EISSN: None
Source Type: Journal
DOI: 10.1142/S0129065703001637 Document Type: Article |
Times cited : (11)
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References (0)
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