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Volumn 40, Issue 9, 1999, Pages 1323-1324
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For classification and predictive purposes, simulated neural networks (SNNs; more often called artificial neural networks, ANNs) offer a powerful alternative to traditional statistical analyses.
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NONE
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Author keywords
[No Author keywords available]
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Indexed keywords
ARTIFICIAL NEURAL NETWORK;
COMPARATIVE STUDY;
DISCRIMINANT ANALYSIS;
EPILEPSY;
HUMAN;
LETTER;
METHODOLOGY;
PROBABILITY;
STANDARD;
TEMPORAL LOBE;
TREATMENT OUTCOME;
DISCRIMINANT ANALYSIS;
EPILEPSY;
HUMANS;
NEURAL NETWORKS (COMPUTER);
PROBABILITY;
RESEARCH DESIGN;
TEMPORAL LOBE;
TREATMENT OUTCOME;
MLCS;
MLOWN;
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EID: 0033192629
PISSN: 00139580
EISSN: None
Source Type: Journal
DOI: 10.1111/j.1528-1157.1999.tb00867.x Document Type: Letter |
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Times cited : (2)
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References (0)
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