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Volumn 24, Issue 9-10, 2000, Pages 2303-2314

Neural network based approach for optimization of industrial chemical processes

Author keywords

Acetic anhydride; Industrial process; Neural networks; Nylon 6,6 polymerization; Optimization

Indexed keywords

CHEMICAL ENGINEERING; CHEMICAL PLANTS; CHEMICAL REACTORS; CONSTRAINT THEORY; EXTRUDERS; EXTRUSION; FUNCTIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR PROGRAMMING; OPTIMIZATION; POLYMERIZATION;

EID: 0034287621     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(00)00587-1     Document Type: Article
Times cited : (179)

References (13)
  • 5
    • 0007760559 scopus 로고
    • Mathematics of Control, Signals, and Systems
    • (1989) , vol.2 , pp. 3031989
    • Cybenko, G.1
  • 8
    • 0007853314 scopus 로고
    • Neural networks - a comprehensive foundation. New York: Macmillan College Publishing Company
    • (1994)
    • Haykin, S.1
  • 10
    • 0000840134 scopus 로고    scopus 로고
    • Use of neural networks for modeling of nylon-6,6 polymerization in a twin-screw extruder reactor
    • Proceedings of the 5th world congress of chemical engineering, vol. IV, July 14-18, 1996, San Diego, CA, USA
    • (1996) , pp. 515-520
    • Nascimento, C.A.O.1    Giudici, R.2    Scherbakoff, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.