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Volumn 9, Issue 2, 1996, Pages 137-143

Extraction of comprehensive symbolic rules from a multi-layer perceptron

Author keywords

extraction of comprehensible symbolic rules; Learning from examples; neural network interpretation; generalization

Indexed keywords

ALGORITHMS; COGNITIVE SYSTEMS; DATA PROCESSING; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS;

EID: 0030125175     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/0952-1976(96)00004-8     Document Type: Article
Times cited : (4)

References (18)
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  • 5
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    • Analysis of the internal representations in neural networks for machine intelligence
    • Anaheim, CA
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    • Parallel networks that learn to pronounce english text
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    • Sejnowski, T.J.1    Rosenberg, C.R.2
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    • Connectionist expert systems
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    • Gallant, S.I.1
  • 14
    • 0003189388 scopus 로고
    • Interpretation of artificial neural networks: Mapping knowledge-based neural networks into rules
    • (Moody J. E. et al., Eds). Denver, CO
    • Towell G. and Shavlik J. W. Interpretation of artificial neural networks: mapping knowledge-based neural networks into rules. Advances in Neural Information Processing Systems, Vol. 4 (Moody J. E. et al., Eds). Denver, CO (1991).
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    • Towell, G.1    Shavlik, J.W.2
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  • 18
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    • Skeletonization: A technique for trimming the fat from a network via relevance assessment
    • Touretzky D. S., Ed.
    • Mozer, M. C. and Smolensky P. Skeletonization: A technique for trimming the fat from a network via relevance assessment. Advances in Neural Information Processing Systems (Touretzky D. S., Ed.), Vol 1, pp. 107-115 (1988).
    • (1988) Advances in Neural Information Processing Systems , vol.1 , pp. 107-115
    • Mozer, M.C.1    Smolensky, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.