Development of a neural network model for a cold rolling process

Engineering Applications of Artificial Intelligence

Volumn 11, Issue 5, 1998, Pages 597-603

  Gunasekera, Jay S ^a   Jia, Zhengjie ^b   Malas, James C ^c,e   Rabelo, Luis ^d  

^a Ohio University   (United States)

^b Litens Automotive Group   (Canada)

^c AIR FORCE RESEARCH LABORATORY   (United States)

^d CALIFORNIA POLYTECHNIC STATE UNIVERSITY   (United States)

^e WRIGHT PATTERSON AIR FORCE BASE   (United States)

Author keywords

Metal forming; Modeling; Neural networks; Optimization; Rolling

Indexed keywords

BACKPROPAGATION; COLD ROLLING; LEARNING SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS);

NEURAL NETWORK MODELS; SLAB METHOD;

NEURAL NETWORKS;

EID: 0032182762     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0952-1976(98)00025-6     Document Type: Article

References (8)

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3. Gunasekera, J.S., Alexander, J.M., 1987. Analysis of Rolling. Annals of CIRP 36 (1), 203-206.
4. Le Cunn, Y., Denker, J.S., Solla, S.A., 1992. Optimal Brain Damage. In: D. Touretzky (Ed.). Advances in Neural Information Processing System 2. San Francisco, pp. 598-605.
5. Freeman, J.A., 1994. Simulating Neural Networks with Mathematica. Addison-Wesley, Menlo Park.
6. Wasserman, P.D., 1993. Advanced Methods in Neural Computing. Van Nostrand Reinhold, New York.
7. Wang, J., Takefuji, Y., 1993. Neural Networks in Design and Manufacturing. World Scientific, Singapore.
8. Wang, Kezhi, 1986. Theory of Rolling. Beijing University of Science and Technology Press, Beijing.