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Volumn 20, Issue 2, 2001, Pages 201-206

Improving the performance of neural networks in classification using fuzzy linear regression

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS; FUZZY SETS; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

EID: 0035252488     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0957-4174(00)00059-2     Document Type: Article
Times cited : (4)

References (14)
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  • 2
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    • The impact of measurement scale and correlation structure on classification performance of inductive learning and statistical methods
    • Han I., Chandler J.S., Liang T.P. The impact of measurement scale and correlation structure on classification performance of inductive learning and statistical methods. Expert Systems With Applications. 10:(2):1996;209-221.
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  • 6
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    • Multisurface method of pattern separaction for medical diagnosis applied to breast cytology
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    • (1990) Proceedings of the National Academy of Sciences , vol.87 , pp. 9193-9196
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  • 7
    • 84990557166 scopus 로고
    • Combining neural networks and statistical predictions to solve the classification problem in discriminant analysis
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  • 8
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    • Fuzzy linear regression with fuzzy intervals
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    • Peters, G.1
  • 9
    • 84988828223 scopus 로고
    • Neural networks: A new tool for predicting thrift failure
    • Salchenberger L.M., Cinar E.M., Lash N.A. Neural networks: a new tool for predicting thrift failure. Decision Sciences. 23:(4):1992;899-916.
    • (1992) Decision Sciences , vol.23 , Issue.4 , pp. 899-916
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  • 11
    • 84997479670 scopus 로고
    • Managerial applications of neural networks: The case of bank failure predictions
    • Tam K.Y., Kiang M.K. Managerial applications of neural networks: the case of bank failure predictions. Management Science. 38:(7):1992;926-947.
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  • 12
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    • Tanaka H., Ishibuchi H. Possibilistic regression analysis based on linear programming. Kacprzyk J., Fedrizzi M. Fuzzy Regression Analysis. 1992;47-60 Physica-Verlag, Heidel.
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    • Bankruptcy prediction using neural networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.