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Volumn 11, Issue 15, 2011, Pages 2855-2860

Explaining results of artificial neural networks

Author keywords

Extracting comprehensible rules; Quine mccluskey algorithm; Symbolic interpretation of artificial neural networks; Symbolic knowledge

Indexed keywords


EID: 79959915434     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2011.2855.2860     Document Type: Article
Times cited : (3)

References (13)
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    • Markowska-Kaczmar, U.1
  • 6
    • 33845331515 scopus 로고
    • Minimization of boolean functions
    • McCluskey, E.J. and H. Schorr, 1956. Minimization of boolean functions. Bell Syst. Tech. J., 35: 1417-1444.
    • (1956) Bell Syst. Tech. J. , vol.35 , pp. 1417-1444
    • McCluskey, E.J.1    Schorr, H.2
  • 9
    • 0032685184 scopus 로고    scopus 로고
    • Symbolic interpretation of artificial neural networks
    • Taha, T.A. and J. Ghosh, 1999. Symbolic interpretation of artificial neural networks. IEEE Trans. Knowl. Data Eng., 11: 448-463.
    • (1999) IEEE Trans. Knowl. Data Eng. , vol.11 , pp. 448-463
    • Taha, T.A.1    Ghosh, J.2
  • 11
    • 0027678679 scopus 로고
    • Extracting refined rules from knowledge-based neural networks
    • Towell, G.G. and J.W. Shavlik, 1993. Extracting refined rules from knowledge-based neural networks. Machine Learning, 13: 71-101.
    • (1993) Machine Learning , vol.13 , pp. 71-101
    • Towell, G.G.1    Shavlik, J.W.2
  • 12
    • 79959891779 scopus 로고    scopus 로고
    • Combining quine mc-cluskey and genetic algorithms for extracting rules from trained neural networks
    • Yedjour, D., H. Yedjour and A. Benyettou, 2010. Combining quine mc-cluskey and genetic algorithms for extracting rules from trained neural networks. Asian J. Applied Sci., 4: 72-80.
    • (2010) Asian J. Applied Sci. , vol.4 , pp. 72-80
    • Yedjour, D.1    Yedjour, H.2    Benyettou, A.3
  • 13
    • 0038030864 scopus 로고    scopus 로고
    • Extracting symbolic rules from trained neural network ensembles
    • Zhou, Z.H., Y. Jiang and S.F. Chen, 2003. Extracting symbolic rules from trained neural network ensembles. AI Commun., 16: 3-15.
    • (2003) AI Commun. , vol.16 , pp. 3-15
    • Zhou, Z.H.1    Jiang, Y.2    Chen, S.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.