Modeling jet fuel endpoint using neural networks with genetic learning

Hydrocarbon Processing

Volumn 78, Issue 12, 1999, Pages 77-80

  Zhong, W ^a,b,c   Yu, J ^a,c  

^a EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c Qingdao Inst of Chemical Technology ^*  (China)

Author keywords

[No Author keywords available]

Indexed keywords

JET FUEL ENDPOINTS; RADIAL BASIS FUNCTION NEURAL NETWORKS (RBFNN);

COMPUTER SYSTEMS PROGRAMMING; GENETIC ALGORITHMS; JET AIRCRAFT; LEARNING SYSTEMS; MATHEMATICAL MODELS;

AIRCRAFT FUELS;

EID: 0033309617     PISSN: 00188190     EISSN: None     Source Type: Trade Journal    
DOI: None     Document Type: Article

References (6)

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2. Willis, M. J., Massimo, C. D. and Montague, G. A., "Artificial neural networks in process engineering," IEE Proceedings - D, 1991, 138 (3):256-266.
3. Goldberg, D. E., "Genetic Algorithms in search, optimization and machine learning," Addison-Wesley Publishing Co.,1989.
4. Lin, C. T. and Lee, C. S. George, "Neural fuzzy systems: A neuro-fuzzy synergism to intelligent systems," Prentice-Hall International, Inc., 1996.
5. Brambilla, A. and Trivella, F., "Estimate product quality with ANNs," Hydrocarbon Processing, Sept. 1996, p. 61-66.
6. Moody, J., Darken, C., "Fast learning in networks of locally-tuned processing units," Neural Computation, 1989, 1: 281-294.