메뉴 건너뛰기




Volumn 38, Issue 1, 2005, Pages 159-164

Fuzzy activated neural models for product quality monitoring in refineries

Author keywords

Fuzzy models; Identification algorithms; Neural networks; Nonlinear models; Products industry; Quality control

Indexed keywords

FUZZY INFERENCE; GASOLINE REFINING; NEURAL NETWORKS;

EID: 79960730919     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20050703-6-cz-1902.01602     Document Type: Conference Paper
Times cited : (4)

References (18)
  • 3
    • 0036610254 scopus 로고    scopus 로고
    • Automatic validation of the fivechannel DCN interferometer in ENEA-FTU based on soft-computing techniques
    • Elsevier, 2002
    • Buceti G., Fortuna L., Rizzo A., Xibilia M.G. (2002). Automatic validation of the fivechannel DCN interferometer in ENEA-FTU based on soft-computing techniques, Fusion Engineering and Design, Elsevier, Vol 60, pp.381-387, 2002.
    • (2002) Fusion Engineering and Design , vol.60 , pp. 381-387
    • Buceti, G.1    Fortuna, L.2    Rizzo, A.3    Xibilia, M.G.4
  • 4
    • 0024631931 scopus 로고
    • Representation of non-linear systems: The NARMAX model
    • 1989
    • Chen, S., Billings, S.A. (1989). Representation of non-linear systems: the NARMAX model.", Int. J. Control, Vol. 43, N. 5, pp. 1013-1032, 1989.
    • (1989) Int. J. Control , vol.43 , Issue.5 , pp. 1013-1032
    • Chen, S.1    Billings, S.A.2
  • 5
    • 0024861871 scopus 로고
    • Approximation by Superposition of a Sigmoidal Function
    • Springer-Verlag, 1989
    • Cybenko, G. (1989). Approximation by Superposition of a Sigmoidal Function, Mathematics of Control, Signals and Systems, pp. 303-314, Springer-Verlag, 1989.
    • (1989) Mathematics of Control, Signals and Systems , pp. 303-314
    • Cybenko, G.1
  • 7
    • 0036131934 scopus 로고    scopus 로고
    • Comparative study of black-box and hybrid estimation methods in fed-batch fermentation
    • James, S., Legge, R., Budmann, H. (2002). Comparative study of black-box and hybrid estimation methods in fed-batch fermentation, J. of Process Control, Vol. 12(1), pp.113-121.
    • (2002) J. of Process Control , vol.12 , Issue.1 , pp. 113-121
    • James, S.1    Legge, R.2    Budmann, H.3
  • 8
    • 0034661658 scopus 로고    scopus 로고
    • Soft sensors development for on-line bioreactor state estimation
    • José de Assis, A., Maciel Filho, R. (2000). Soft sensors development for on-line bioreactor state estimation. Computers and Chemical Eng., Vol. 24, pp. 1099-1103.
    • (2000) Computers and Chemical Eng. , vol.24 , pp. 1099-1103
    • José De Assis, A.1    Maciel Filho, R.2
  • 9
    • 0022011031 scopus 로고
    • Input-Output parametric models for non-linear systems. Part I: Deterministic non-linear systems
    • Leontaritis, I.J., Billings, S.A.(1985). Input-Output parametric models for non-linear systems. Part I: deterministic non-linear systems, Int. J. Contr., Vol. 41, N. 2, pp. 303-328.
    • (1985) Int. J. Contr. , vol.41 , Issue.2 , pp. 303-328
    • Leontaritis, I.J.1    Billings, S.A.2
  • 12
    • 0034661135 scopus 로고    scopus 로고
    • A non linear soft sensor based on multivariate smoothing procedure for quality estimation in distillation columns
    • Park, S., Han, C. (2000). A non linear soft sensor based on multivariate smoothing procedure for quality estimation in distillation columns. Comp. & Chem. Eng., Vol. 24, pp. 871-877.
    • (2000) Comp. & Chem. Eng. , vol.24 , pp. 871-877
    • Park, S.1    Han, C.2
  • 13
    • 0036576287 scopus 로고    scopus 로고
    • An innovative intelligent system for sensor validation in tokamak machines
    • Rizzo A., Xibilia M.G. (2002). an Innovative Intelligent System for Sensor Validation in Tokamak Machines, IEEE Trans. on Control System Technology, Vol 10, no.3, pp.421-431.
    • (2002) IEEE Trans. on Control System Technology , vol.10 , Issue.3 , pp. 421-431
    • Rizzo, A.1    Xibilia, M.G.2
  • 14
    • 0032041454 scopus 로고    scopus 로고
    • Monitoring the process of curing of epoxy/graphite fiber composites with a recurrent neural network as a soft sensor
    • Su, H.B., Fan, L.T., Schlup, J.R. (1998). Monitoring the process of curing of epoxy/graphite fiber composites with a recurrent neural network as a soft sensor, Eng. Appl. Of Artificial Intelligence, Vol. 11, pp. 293-306.
    • (1998) Eng. Appl. of Artificial Intelligence , vol.11 , pp. 293-306
    • Su, H.B.1    Fan, L.T.2    Schlup, J.R.3
  • 15
    • 0024770320 scopus 로고
    • Soft-Sensing: A solution to the problem of measurement delays
    • Tham, M.T., Morris, A.J., and Montague G.A. (1989) Soft-Sensing: A solution to the problem of measurement delays, Chem. Eng. Res. Des., Vol. 67, pp. 567-554.
    • (1989) Chem. Eng. Res. Des. , vol.67 , pp. 554-567
    • Tham, M.T.1    Morris, A.J.2    Montague, G.A.3
  • 17
    • 0026954989 scopus 로고
    • Artificial neural networks in process estimation and control
    • Willings, M.J., Montague, G.A., Di Massimo, C., Tham, M.T., and Morris, A.J. (1992). Artificial Neural Networks in Process Estimation and Control. Automatica, Vol. 28, N. 6, pp.1181-1187.
    • (1992) Automatica , vol.28 , Issue.6 , pp. 1181-1187
    • Willings, M.J.1    Montague, G.A.2    Di Massimo, C.3    Tham, M.T.4    Morris, A.J.5
  • 18
    • 0034207548 scopus 로고    scopus 로고
    • Neural network based fault diagnosis using unmeasurable inputs
    • Yang, S.H., Chen, B.H., Wang, X.Z. (2000). Neural network based fault diagnosis using unmeasurable inputs, Eng. Appl. Of Artificial Intelligence, Vol. 13, pp. 345-356.
    • (2000) Eng. Appl. of Artificial Intelligence , vol.13 , pp. 345-356
    • Yang, S.H.1    Chen, B.H.2    Wang, X.Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.