A hybrid neural network-first principles approach to batch unit optimisation

Computers and Chemical Engineering

Volumn 22, Issue SUPPL.1, 1998, Pages

  Martinez, E C ^b   Wilson, J A ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b El INGAR Instituto de Desarollo y Diseno   (Argentina)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 3142736855     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0098-1354(98)00174-4     Document Type: Article

References (4)

1. Bertsekas D., 1995. Dynamic programming and optimal control, Vol. I and II Athena-Scientific, Belmon, MA.
2. Terwiesch. P., M. Agarwal and D. W. Rippin, 1994. Batch optimisation with imperfect modelling: a survey. J. of Process Control, 4, pp. 238.
3. Thrun, S., 1996. Explanation-based Neural Network Learning: A lifelong learning approach. Kluwer:Boston.
4. Wilson J. A. and E. C. Martinez (1997b). Neuro-fuzzy modelling and control of a batch process involving simultaneous reaction and distillation. Computers chem. Engng., Vol. 21, pp. S1233.