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Volumn 161, Issue 19, 2010, Pages 2597-2611

An application of neuro-fuzzy technology for analysis of the CO2 capture process

Author keywords

ANFIS; CO2 capture process; Neuro fuzzy systems

Indexed keywords

ACCEPTABLE LIMIT; ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; FUZZY INFERENCE SYSTEMS; FUZZY LOGIC APPROACH; HISTORICAL DATA; IMPROVING EFFICIENCY; INPUT/OUTPUT; KEY PROCESS; KNOWLEDGE BASE; MODEL VALIDATION; MODELING ACCURACY; NEURO-FUZZY; NEUROFUZZY SYSTEM; OUTPUT PARAMETERS; POST-COMBUSTION; PROCESS PARAMETERS; SASKATCHEWAN;

EID: 77955426368     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2010.04.016     Document Type: Article
Times cited : (17)

References (18)
  • 4
    • 58349088285 scopus 로고    scopus 로고
    • Application of adaptive neuro-fuzzy system for solubility prediction of carbon dioxide in polymers
    • A. Khajeh, H. Modarress, and B. Rezaee Application of adaptive neuro-fuzzy system for solubility prediction of carbon dioxide in polymers Expert Systems with Applications 36 2009 5728 5732
    • (2009) Expert Systems with Applications , vol.36 , pp. 5728-5732
    • Khajeh, A.1    Modarress, H.2    Rezaee, B.3
  • 5
    • 33947602485 scopus 로고
    • Neural networks in designing fuzzy systems for real world applications
    • S.K. Halgamuge, and M. Glesner Neural networks in designing fuzzy systems for real world applications Fuzzy Sets and Systems 65 1994 1 12
    • (1994) Fuzzy Sets and Systems , vol.65 , pp. 1-12
    • Halgamuge, S.K.1    Glesner, M.2
  • 6
    • 0026923465 scopus 로고
    • Learning and tuning fuzzy logic controllers through reinforcements
    • H.R. Berenji, and P. Khedkar Learning and tuning fuzzy logic controllers through reinforcements IEEE Transactions on Neural Networks 3 1992 724 740
    • (1992) IEEE Transactions on Neural Networks , vol.3 , pp. 724-740
    • Berenji, H.R.1    Khedkar, P.2
  • 7
    • 0000080094 scopus 로고    scopus 로고
    • The neural network model RuleNet and its application to mobile robot navigation
    • T.G. Nadine The neural network model RuleNet and its application to mobile robot navigation Fuzzy Sets and Systems 85 1997 287 303
    • (1997) Fuzzy Sets and Systems , vol.85 , pp. 287-303
    • Nadine, T.G.1
  • 8
    • 0026923902 scopus 로고
    • On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
    • S. Horikawa, T. Furuhash, and Y. Uchikawa On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm IEEE Transactions on Neural Networks 3 1992 801 806
    • (1992) IEEE Transactions on Neural Networks , vol.3 , pp. 801-806
    • Horikawa, S.1    Furuhash, T.2    Uchikawa, Y.3
  • 11
    • 16444385777 scopus 로고    scopus 로고
    • Application of an adaptive-network-based fuzzy inference system for the optimization of a Chinese Braille display
    • F.H. Yeh, H.S. Tsay, and S.H. Liang Application of an adaptive-network-based fuzzy inference system for the optimization of a Chinese Braille display Biomedical Engineering Applications, Basis and Communications 17 2005 50 60
    • (2005) Biomedical Engineering Applications, Basis and Communications , vol.17 , pp. 50-60
    • Yeh, F.H.1    Tsay, H.S.2    Liang, S.H.3
  • 12
    • 0036091127 scopus 로고    scopus 로고
    • The application of an ANFIS and Grey system method in turning tool-failure detection
    • S.P. Lo The application of an ANFIS and Grey system method in turning tool-failure detection The International Journal of Advanced Manufacturing Technology 19 2002 564 572
    • (2002) The International Journal of Advanced Manufacturing Technology , vol.19 , pp. 564-572
    • Lo, S.P.1
  • 13
    • 0033715030 scopus 로고    scopus 로고
    • Fuzzy modeling of a magnetorheological damper using ANFIS
    • K.C. Schurter, and P.N. Roschke Fuzzy modeling of a magnetorheological damper using ANFIS Fuzzy Systems 1 2002 122 127
    • (2002) Fuzzy Systems , vol.1 , pp. 122-127
    • Schurter, K.C.1    Roschke, P.N.2
  • 14
    • 0037523276 scopus 로고    scopus 로고
    • Battery state-of-charge (SOC) estimation using adaptive neuro-fuzzy inference system (ANFIS)
    • C.H. Cai, D. Du, and Z.Y. Liu Battery state-of-charge (SOC) estimation using adaptive neuro-fuzzy inference system (ANFIS) Fuzzy Systems 2 2003 1068 1073
    • (2003) Fuzzy Systems , vol.2 , pp. 1068-1073
    • Cai, C.H.1    Du, D.2    Liu, Z.Y.3
  • 15
    • 0037108565 scopus 로고    scopus 로고
    • 2 capture technology for power plant greenhouse gas control
    • A.B. Rao, and E.S. Rubin A technical economic and environmental assessment of amine-based CO 2 capture technology for power plant greenhouse gas control Environmental Science and Technology 36 2002 4467 4475
    • (2002) Environmental Science and Technology , vol.36 , pp. 4467-4475
    • Rao, A.B.1    Rubin, E.S.2
  • 16
    • 33749999794 scopus 로고    scopus 로고
    • 2 capture system
    • A.B. Rao, E. Rubin, D. Keith, and M. Morgan Evaluation of potential cost reductions from improved amine-based CO 2 capture system Energy Policy 34 2006 3765 3772
    • (2006) Energy Policy , vol.34 , pp. 3765-3772
    • Rao, A.B.1    Rubin, E.2    Keith, D.3    Morgan, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.