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Volumn , Issue , 2005, Pages 1541-1546

Effectively extracting rules from trained neural networks based on the characterises of the classification hypersurfaces

Author keywords

Classification hypersurface; Heuristic information; Neural network; Rule extraction

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; HEURISTIC METHODS; PROBLEM ORIENTED LANGUAGES;

EID: 28444484655     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (10)
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  • 5
    • 0027644780 scopus 로고
    • Knowledge acquisition of conjunctive rules using multilayered neural networks
    • Sestito S., Dillon T., Knowledge acquisition of conjunctive rules using multilayered neural networks, International Journal of Intellent System, Vol 8, No. 7, pp. 779-805, 1993.
    • (1993) International Journal of Intellent System , vol.8 , Issue.7 , pp. 779-805
    • Sestito, S.1    Dillon, T.2
  • 7
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  • 10
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    • Department of Information and Computer Science, University of California, Irvine, CA
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.