메뉴 건너뛰기




Volumn 61, Issue 3, 2011, Pages 686-696

Determining optimal quality distribution of latex weight using adaptive neuro-fuzzy modeling and control systems

Author keywords

ANFIS; Carpet industry; Fuzzy logic control; Latex weight; Quality control

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; DECISION MAKING PROCESS; FEASIBLE ALTERNATIVES; FUZZY IF-THEN RULES; FUZZY LOGIC CONTROL; HIGH PRODUCTION VOLUMES; HUMAN OPERATOR; HUMAN REASONING; LATEX WEIGHT; NEURO-FUZZY MODELING; NEUROFUZZY CONTROL; NEUROFUZZY SYSTEM; NUMERICAL OUTCOMES; PROCESS PARAMETERS; PRODUCT QUALITY; QUALITATIVE ASPECTS; QUALITY DISTRIBUTION; QUALITY STANDARD; STATISTICAL PROCESS; UNIFORM DISTRIBUTION;

EID: 80053208218     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2011.05.002     Document Type: Article
Times cited : (12)

References (35)
  • 1
    • 33748276634 scopus 로고    scopus 로고
    • Multiple response optimization using Taguchi methodology and neuro-fuzzy based model
    • DOI 10.1108/17410380610688232
    • J. Antony, R.B. Anand, M. Kumar, and M.K. Tiwari Multiple response optimization using Taguchi methodology and neuro-fuzzy based model Journal of Manufacturing Technology Management 17 7 2006 908 925 (Pubitemid 44320310)
    • (2006) Journal of Manufacturing Technology Management , vol.17 , Issue.7 , pp. 908-925
    • Antony, J.1    Anand, R.B.2    Kumar, M.3    Tiwari, M.K.4
  • 2
    • 0026923465 scopus 로고
    • Learning and tuning fuzzy logic controllers through reinforcements
    • DOI 10.1109/72.159061
    • H.R. Berenji, and P. Khedkar Learning and tuning fuzzy logic controllers through reinforcements IEEE Transactions on Neural Networks 3 5 1992 724 740 (Pubitemid 23555780)
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.5 , pp. 724-740
    • Berenji Hamid, R.1    Khedkar Pratap2
  • 3
    • 0024090799 scopus 로고
    • Use of rule-based system for process control
    • J.A. Bernard Use of rule-based system for process control IEEE Control Systems Magazine 8 5 1988 3 33
    • (1988) IEEE Control Systems Magazine , vol.8 , Issue.5 , pp. 3-33
    • Bernard, J.A.1
  • 6
    • 0032187562 scopus 로고    scopus 로고
    • Learning fuzzy control by evolutionary and advantage reinforcements
    • M.M. Chowdhury, and Y. Li Learning fuzzy control by evolutionary and advantage reinforcements International Journal of Intelligent Systems 13 10-11 1998 949 974 (Pubitemid 128608586)
    • (1998) International Journal of Intelligent Systems , vol.13 , Issue.10-11 , pp. 949-974
    • Chowdhury, M.-U.M.1    Li, Y.2
  • 11
    • 0029273384 scopus 로고
    • Neuro-fuzzy modeling and control
    • J.S.R. Jang, and C.T. Sun Neuro-fuzzy modeling and control Proceedings of IEEE 83 3 1995 378 406
    • (1995) Proceedings of IEEE , vol.83 , Issue.3 , pp. 378-406
    • Jang, J.S.R.1    Sun, C.T.2
  • 16
    • 27744573509 scopus 로고    scopus 로고
    • Intelligent real time control of disturbances in manufacturing systems
    • DOI 10.1108/17410380510627861
    • A.W. Labib, and M.N. Yuniarto Intelligent real time control of disturbances in manufacturing systems Journal of Manufacturing Technology Management 16 8 2005 864 889 (Pubitemid 41609413)
    • (2005) Journal of Manufacturing Technology Management , vol.16 , Issue.8 , pp. 864-889
    • Labib, A.W.1    Yuniarto, M.N.2
  • 18
    • 0026366218 scopus 로고
    • Neural-network based fuzzy logic control and decision system
    • C. Lin, and C. Lee Neural-network based fuzzy logic control and decision system IEEE Transactions on Computer 40 12 1991 1320 1336
    • (1991) IEEE Transactions on Computer , vol.40 , Issue.12 , pp. 1320-1336
    • Lin, C.1    Lee, C.2
  • 20
    • 0031118272 scopus 로고    scopus 로고
    • A fuzzy logic controller with learning through the evolution of its knowledge base
    • PII S0888613X96001247
    • L. Magdalena, and F. Monasterio-Huelin A fuzzy logic controller with learning through the evolution of its knowledge base International Journal of Approximate Reasoning 16 3 1997 335 358 (Pubitemid 127418357)
    • (1997) International Journal of Approximate Reasoning , vol.16 , Issue.3-4 SPEC. ISS. , pp. 335-358
    • Magdalena, L.1    Monasterio-Huelin, F.2
  • 23
    • 0034187785 scopus 로고    scopus 로고
    • Neuro-fuzzy rule generation: Survey in soft computing framework
    • S. Mitra, and Y. Hayashi Neuro-fuzzy rule generation: Survey in soft computing framework IEEE Transactions on Neural Networks 11 3 2000 748 768
    • (2000) IEEE Transactions on Neural Networks , vol.11 , Issue.3 , pp. 748-768
    • Mitra, S.1    Hayashi, Y.2
  • 25
    • 0029323249 scopus 로고
    • Constructing fuzzy model by self-organizing counter propagation network
    • J. Nie Constructing fuzzy model by self-organizing counter propagation network IEEE Transactions on Systems, Man, and Cybernetics 25 8 1995 963 970
    • (1995) IEEE Transactions on Systems, Man, and Cybernetics , vol.25 , Issue.8 , pp. 963-970
    • Nie, J.1
  • 29
    • 1642268285 scopus 로고    scopus 로고
    • Decision support system: Real-time control of manufacturing processes
    • K.T. Swanepoel Decision support system: Real-time control of manufacturing processes Journal of Manufacturing Technology Management 15 1 2004 68 75
    • (2004) Journal of Manufacturing Technology Management , vol.15 , Issue.1 , pp. 68-75
    • Swanepoel, K.T.1
  • 30
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
    • T. Takagi, and M. Sugeno Fuzzy identification of systems and its application to modeling and control IEEE Transactions on Systems, Man, and Cybernetics SMC-15 1 1985 116 132
    • (1985) IEEE Transactions on Systems, Man, and Cybernetics , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 31
    • 32644475359 scopus 로고    scopus 로고
    • Neural and fuzzy model performance evaluation of a dynamic production system
    • DOI 10.1080/00207540500362070, PII T82462748160182
    • O. Taylan Neural and fuzzy model performance evaluation of a dynamic production system International Journal of Production Research 44 6 2006 1093 1105 (Pubitemid 43245728)
    • (2006) International Journal of Production Research , vol.44 , Issue.6 , pp. 1093-1105
    • Taylan, O.1
  • 33
    • 67349277414 scopus 로고    scopus 로고
    • Estimating and testing process yield with imprecise data
    • C.W. Wu, and M.Y. Liao Estimating and testing process yield with imprecise data Expert Systems with Applications 36 2009 11006 11012
    • (2009) Expert Systems with Applications , vol.36 , pp. 11006-11012
    • Wu, C.W.1    Liao, M.Y.2
  • 34
    • 0001220976 scopus 로고
    • Automatic train operation system by predictive fuzzy control
    • M. Sugeno, North-Holland Amsterdam
    • S. Yasunobu, and S. Miyamoto Automatic train operation system by predictive fuzzy control M. Sugeno, Industrial Applications of Fuzzy Control 1985 North-Holland Amsterdam 1 18
    • (1985) Industrial Applications of Fuzzy Control , pp. 1-18
    • Yasunobu, S.1    Miyamoto, S.2
  • 35
    • 67349252288 scopus 로고    scopus 로고
    • Computer-aided inspection planning - The state of the art
    • F. Zhao, X. Xu, and S.Q. Xie Computer-aided inspection planning - the state of the art Computers in Industry 60 2009 453 466
    • (2009) Computers in Industry , vol.60 , pp. 453-466
    • Zhao, F.1    Xu, X.2    Xie, S.Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.