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Volumn 4, Issue 1, 2004, Pages 65-77

Extracting rules from trained neural network using GA for managing E-business

Author keywords

Artificial neural network; E business; Genetic algorithms; Online shopping; Personalization; Rule extraction

Indexed keywords

ACCURACY; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; GENETIC ALGORITHM; HUMAN COMPUTER INTERACTION; INTERNET; TELECOMMUNICATION; TRAINING;

EID: 2442617148     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2003.08.004     Document Type: Article
Times cited : (45)

References (13)
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    • Jhang J., Jain H., Ramamurthy K. Effective design of electronic commerce environments: a proposed theory of congruence and an illustration. IEEE Trans. Systems Man Cybernet. Part A: Syst. Hum. 30(4):2000;456-471
    • (2000) IEEE Trans. Systems Man Cybernet. Part A: Syst. Hum. , vol.30 , Issue.4 , pp. 456-471
    • Jhang, J.1    Jain, H.2    Ramamurthy, K.3
  • 2
    • 0035251446 scopus 로고    scopus 로고
    • Using data mining methods to build customer profiles
    • Adomavicius G., Tuzbilin A. Using data mining methods to build customer profiles. IEEE Comput. 34(2):2001;74-82
    • (2001) IEEE Comput. , vol.34 , Issue.2 , pp. 74-82
    • Adomavicius, G.1    Tuzbilin, A.2
  • 3
    • 0033335007 scopus 로고    scopus 로고
    • Induction by attribute elimination
    • Wu X., Urpani D. Induction by attribute elimination. IEEE Trans. Knowl. Data Eng. 11(5):1999;805-812
    • (1999) IEEE Trans. Knowl. Data Eng. , vol.11 , Issue.5 , pp. 805-812
    • Wu, X.1    Urpani, D.2
  • 4
    • 0033742671 scopus 로고    scopus 로고
    • Extracting rules from trained neural networks
    • Tsukimoto H. Extracting rules from trained neural networks. IEEE Trans. Neural Networks. 11(2):2000;377-389
    • (2000) IEEE Trans. Neural Networks , vol.11 , Issue.2 , pp. 377-389
    • Tsukimoto, H.1
  • 5
    • 0033751611 scopus 로고    scopus 로고
    • Extracting M-of-N rules from trained neural networks
    • Setiono R. Extracting M-of-N rules from trained neural networks. IEEE Trans. Neural Networks. 11(2):2000;512-519
    • (2000) IEEE Trans. Neural Networks , vol.11 , Issue.2 , pp. 512-519
    • Setiono, R.1
  • 7
    • 0033742671 scopus 로고    scopus 로고
    • Extracting rules from trained neural networks
    • Tsukimoto H. Extracting rules from trained neural networks. IEEE Trans. Neural Networks. 11(2):2000;377-389
    • (2000) IEEE Trans. Neural Networks , vol.11 , Issue.2 , pp. 377-389
    • Tsukimoto, H.1
  • 10
    • 2442625544 scopus 로고    scopus 로고
    • http://www.cse.unsw.edu.au∼cs3411/C4.5/Data.
  • 13
    • 0036565303 scopus 로고    scopus 로고
    • Extraction of rules from artificial neural networks for nonlinear regression
    • Setiono R., Leow W.K., Zurada J.M. Extraction of rules from artificial neural networks for nonlinear regression. IEEE Trans. Neural Networks. 13(3):2002;564-577
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.3 , pp. 564-577
    • Setiono, R.1    Leow, W.K.2    Zurada, J.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.