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Volumn 4065 LNAI, Issue , 2006, Pages 76-90

Experimental study of evolutionary based method of rule extraction from neural networks in medical data

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; KNOWLEDGE ENGINEERING; MEDICAL COMPUTING;

EID: 33746393740     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11790853_7     Document Type: Conference Paper
Times cited : (4)

References (13)
  • 3
    • 0003590592 scopus 로고    scopus 로고
    • Symbolic interpretation of artificial neural networks
    • The Computer and Vision Research Center, University of Texas, Austin
    • Taha, I., Ghosh, J.: Symbolic interpretation of artificial neural networks. Technical report, The Computer and Vision Research Center, University of Texas, Austin (1996)
    • (1996) Technical Report
    • Taha, I.1    Ghosh, J.2
  • 4
    • 0346279920 scopus 로고    scopus 로고
    • An approach to generate rules from neural networks for regression problems
    • Setiono, R., Thong, J.: An approach to generate rules from neural networks for regression problems. European Journal of Operational Research 155 (2004) 239-250
    • (2004) European Journal of Operational Research , vol.155 , pp. 239-250
    • Setiono, R.1    Thong, J.2
  • 5
    • 84883800261 scopus 로고    scopus 로고
    • Interpretation of trained neural networks by rule extraction
    • Fuzzy Days 2001, Springer-Verlag Berlin Heilderberg 2001
    • Palade, V., Neagu, D.C., Patton, R.J.: Interpretation of trained neural networks by rule extraction. Fuzzy Days 2001, LNC 2206 (2001) 152-161 Springer-Verlag Berlin Heilderberg 2001.
    • (2001) LNC , vol.2206 , pp. 152-161
    • Palade, V.1    Neagu, D.C.2    Patton, R.J.3
  • 6
    • 0003276432 scopus 로고
    • Extracting rules from artificial neural networks with distributed representation, advances
    • Thrun, S.B.: Extracting rules from artificial neural networks with distributed representation, advances. Neural Information Processing Systems vol. 7 (1995)
    • (1995) Neural Information Processing Systems , vol.7
    • Thrun, S.B.1
  • 7
    • 0029484103 scopus 로고
    • A survey and critique of techniques for extracting rules from trained neural networks
    • Andrews, R., Diederich, J., Tickle, A.: A survey and critique of techniques for extracting rules from trained neural networks. Knowledge-Based Systems 8 (1995) 373-389
    • (1995) Knowledge-based Systems , vol.8 , pp. 373-389
    • Andrews, R.1    Diederich, J.2    Tickle, A.3
  • 8
    • 0002190767 scopus 로고    scopus 로고
    • Extracting tree-structured representations of trained networks
    • MIT Press, Cambridge, MA
    • Craven, M., Shavlik, J.: Extracting tree-structured representations of trained networks. Advances Information Processes Systems Vol. 8 (1996.) MIT Press, Cambridge, MA.
    • (1996) Advances Information Processes Systems , vol.8
    • Craven, M.1    Shavlik, J.2
  • 10
    • 33746463115 scopus 로고    scopus 로고
    • A scalar evolutionary approach to rule extraction
    • ISRN I3S/RR-200312-FR
    • Francisci, D., Brisson, L., Collard, M.: A scalar evolutionary approach to rule extraction. Technical report, ISRN I3S/RR-200312-FR (2003)
    • (2003) Technical Report
    • Francisci, D.1    Brisson, L.2    Collard, M.3
  • 13
    • 0003408496 scopus 로고    scopus 로고
    • PhD thesis, Department of Information and Computer Science, University of California, Irvine, CA
    • Murphy, P.M., Aha, D.W.: UCI repository of machine learning databases. PhD thesis, Department of Information and Computer Science, University of California, Irvine, CA (1998)
    • (1998) UCI Repository of Machine Learning Databases
    • Murphy, P.M.1    Aha, D.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.