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Volumn 13, Issue 1, 2001, Pages 11-18

A novel means of applying neural networks to optimize the multiresponse problem

Author keywords

Artificial neural network; Backpropagation; Experimental design; Multiresponse; Optimization; Prediction

Indexed keywords


EID: 10644241792     PISSN: 08982112     EISSN: None     Source Type: Journal    
DOI: 10.1080/08982110108918619     Document Type: Article
Times cited : (35)

References (16)
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  • 6
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    • Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions
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  • 7
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    • Characterizing and Optimizing Multi-response Processes by the Taguchi Method
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    • Logothetis, N.1    Haigh, A.2
  • 9
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    • Strategies for Robust Multi-response Quality Engineering
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    • (1993) IIE Trans. , vol.25 , pp. 5-15
    • Pignatiello Jr., J.J.1
  • 10
    • 0000387330 scopus 로고
    • Methods to Determine Optimum Factor Levels for Multiple Response in Designed Experimentation
    • Layne, K. L., Methods to Determine Optimum Factor Levels for Multiple Response in Designed Experimentation, Qual. Eng., 7(4), 649-656 (1995).
    • (1995) Qual. Eng. , vol.7 , Issue.4 , pp. 649-656
    • Layne, K.L.1
  • 11
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    • Photochemistry Multiple Response Cooptimization
    • Chapman, R. E., Photochemistry Multiple Response Cooptimization, Qual. Eng., 8(1), 31-45 (1995).
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  • 12
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    • Modified Desirability Functions for Multiple Response Optimization
    • Castillo, E. D., Montgomery, D. C., and McCarville, D. R., Modified Desirability Functions for Multiple Response Optimization, J. Qual. Technol, 28(3), 337-345 (1996).
    • (1996) J. Qual. Technol , vol.28 , Issue.3 , pp. 337-345
    • Castillo, E.D.1    Montgomery, D.C.2    McCarville, D.R.3
  • 13
    • 0000049522 scopus 로고
    • The Desirability Function
    • Harrington, E. C., Jr., The Desirability Function, Ind. Qual. Control, 21, 494-498 (1965).
    • (1965) Ind. Qual. Control , vol.21 , pp. 494-498
    • Harrington Jr., E.C.1
  • 14
    • 0000774532 scopus 로고    scopus 로고
    • A Pragmatic Approach to Multiple-Response Problem Using Loss Function
    • Leon, N. A., A Pragmatic Approach to Multiple-Response Problem Using Loss Function, Qual. Eng., 9(2), 213-220 (1996).
    • (1996) Qual. Eng. , vol.9 , Issue.2 , pp. 213-220
    • Leon, N.A.1
  • 15
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    • Optimizing Multi-response Problems in the Taguchi Method by Fuzzy Multiple Attribute Decision Making
    • Tong, L.-I. and Su, C.-T., Optimizing Multi-response Problems in the Taguchi Method by Fuzzy Multiple Attribute Decision Making, Qual Reliab. Eng. Int., 13, 25-34 (1997).
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    • Tong, L.-I.1    Su, C.-T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.