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Volumn 37, Issue 1, 1998, Pages 41-52

Process modeling and optimization using focused attention neural networks

Author keywords

Disturbance rejection; Neural Networks; Process modeling; Steady state optimization

Indexed keywords

CHAOS THEORY; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; SENSITIVITY ANALYSIS;

EID: 0031701635     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0019-0578(98)00005-6     Document Type: Article
Times cited : (6)

References (16)
  • 2
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • J. Moody, C. Darken, Fast learning in networks of locally-tuned processing units, Neural Computation 1 (1989) 281-294.
    • (1989) Neural Computation , vol.1 , pp. 281-294
    • Moody, J.1    Darken, C.2
  • 4
    • 0000067815 scopus 로고
    • Predicting the future: Advantages of semi-local units
    • E. Hartman, J.D. Keeler, Predicting the future: advantages of semi-local units, Neural Computation 3 (1991) 566-579.
    • (1991) Neural Computation , vol.3 , pp. 566-579
    • Hartman, E.1    Keeler, J.D.2
  • 5
    • 0024880831 scopus 로고
    • Multilayer feed-forward networks are universal approximators
    • K. Hornik, M. Stinchcombe, H. White, Multilayer feed-forward networks are universal approximators, Neural Networks 2 (1989) 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 6
    • 0001683814 scopus 로고
    • Layered neural networks with Gaussian hidden units as universal approximators
    • E. Hartman, J.D. Keeler, J. Kowalski, Layered neural networks with Gaussian hidden units as universal approximators, Neural Computation 2 (1990) 210-215.
    • (1990) Neural Computation , vol.2 , pp. 210-215
    • Hartman, E.1    Keeler, J.D.2    Kowalski, J.3
  • 8
    • 0004059199 scopus 로고
    • W.T. Miller, R.S. Sutton, P.J. Werbos (Eds.), MIT Press, Cambridge, MA
    • W.T. Miller, R.S. Sutton, P.J. Werbos (Eds.), Neural Networks for Control, MIT Press, Cambridge, MA, 1990.
    • (1990) Neural Networks for Control
  • 10
    • 0026953356 scopus 로고
    • Feedback stabilization using two-hidden-layer nets
    • E.D. Sontag, "Feedback stabilization using two-hidden-layer nets", IEEE Transactions Neural Networks 3 (1992) 981-990.
    • (1992) IEEE Transactions Neural Networks , vol.3 , pp. 981-990
    • Sontag, E.D.1
  • 11
    • 0002588208 scopus 로고
    • Process modeling and control using neural networks
    • G. Stephanopoulos, V. Venkatasubramanian, J. Davis (Eds.), Snowmass, CO, AIChE Symposium Series
    • L. Ungar, E. Hartman, J. Keeler, G. Martin, Process modeling and control using neural networks, in: G. Stephanopoulos, V. Venkatasubramanian, J. Davis (Eds.), Proceedings of Intelligent Systems in Process Engineering. ISPE '95, Snowmass, CO, AIChE Symposium Series, 1995, 57-67.
    • (1995) Proceedings of Intelligent Systems in Process Engineering. ISPE '95 , pp. 57-67
    • Ungar, L.1    Hartman, E.2    Keeler, J.3    Martin, G.4
  • 13
    • 33746419503 scopus 로고    scopus 로고
    • IJAR 6 (2) 185-192.
    • IJAR , vol.6 , Issue.2 , pp. 185-192
  • 15
    • 84984100048 scopus 로고
    • The use of secondary measurements to improve control
    • R. Weber, C. Brosilow, The use of secondary measurements to improve control, AIChE Journal 18 (1972) 614-623.
    • (1972) AIChE Journal , vol.18 , pp. 614-623
    • Weber, R.1    Brosilow, C.2
  • 16
    • 0012207529 scopus 로고
    • Experimental studies of bifurcations leading to chaos in the Belousov-Zhabotinsky reaction
    • J.C. Roux, Experimental studies of bifurcations leading to chaos in the Belousov-Zhabotinsky reaction, Physical 7D (1983) 57-68.
    • (1983) Physical , vol.7 D , pp. 57-68
    • Roux, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.