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Neural Computing and Applications
Volumn 9, Issue 2, 2000, Pages 101-112
Assessing the impact of input features in a feedforward neural network
Author keywords

Clamping; Feature salience ranking; Input impact; Neural networks
Indexed keywords

EID: 0034336503     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/PL00009895     Document Type: Article
Times cited : (63)
References (6)
  • 1
    • 0032281368 scopus 로고    scopus 로고
    • Establishing impacts of the inputs in a feedforward network
    • Tchaban T, Taylor MJ, Griffin. Establishing impacts of the inputs in a feedforward network. Neural Comput & Applic 1998; 7: 309-317
    • (1998) Neural Comput & Applic , vol.7 , pp. 309-317
    • Tchaban, T.1    Taylor, M.J.2
  • 2
    • 0012898666 scopus 로고
    • Selecting neural network architecture via the prediction risk: Application to corporate bond rating prediction
    • IEEE Press, Los Alamitos, CA
    • Utans J, Moody J. Selecting neural network architecture via the prediction risk: application to corporate bond rating prediction. Proc 1st Int Conference on Artificial Intelligence Applications on Wall Street. IEEE Press, Los Alamitos, CA, 1991
    • (1991) Proc 1st Int Conference on Artificial Intelligence Applications on Wall Street
    • Utans, J.1    Moody, J.2
  • 3
    • 0000335983 scopus 로고
    • Bayesian methods for backpropagation networks
    • E Domany, JL van Hemmen, K Schilten (eds), Springer-Verlag
    • MacKay D. Bayesian methods for backpropagation networks. In: E Domany, JL van Hemmen, K Schilten (eds), Models of Neural Networks. Springer-Verlag, 1994
    • (1994) Models of Neural Networks
    • MacKay, D.1
  • 4
    • 0001656099 scopus 로고    scopus 로고
    • Ranking pattern recognition features for neural networks
    • Plymouth, UK
    • Wang W, Jones P, Partridge D. Ranking pattern recognition features for neural networks. Proc ICAPR98, Plymouth, UK, 1998; 232-241
    • (1998) Proc ICAPR98 , pp. 232-241
    • Wang, W.1    Jones, P.2    Partridge, D.3
  • 5
    • 0030585190 scopus 로고    scopus 로고
    • Engineering multiversion neural-net systems
    • Partridge D, Yates WB. Engineering multiversion neural-net systems. Neural Computation 1996; 4: 869-893
    • (1996) Neural Computation , vol.4 , pp. 869-893
    • Partridge, D.1    Yates, W.B.2
  • 6
    • 0030111129 scopus 로고    scopus 로고
    • Network generalisation differences quantified
    • Partridge D. Network generalisation differences quantified. Neural Networks 1996; 9: 263-271
    • (1996) Neural Networks , vol.9 , pp. 263-271
    • Partridge, D.1

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.