Artificial Neural Networks and Fuzzy Logic in Process Modeling and Control
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-25734-6_144
Reference22 articles.
1. Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning internal representations by error propagation. In: Rumelhart, D.E., McClelland, J.L. (eds.) Parallel Distributed Processing: Explorations in the Microstructure of Cognition, pp. 318–362. MIT Press, Cambridge (1986)
2. Narendra, K.S., Parthasarathy, K.: Identification and Control of Dynamical Systems Using Neural Networks. IEEE Transactions on Neural Networks 1, 4-27 (1990);
3. Kaufman, C.J.: Rocky Mountain Research Lab., Boulder, CO, Private Communication
4. Hornik, K., Stinchcombe, M., White, H.: Multilayered Feed-forward Networks are Universal Approximators. Neural Networks 2, 359–366 (1989)
5. Goel, A.K., Saxena, S.C., Bhanot, S.: Modified Functional Link ANN Based Controller for thermal Processes. IETE Technical Review 23(1), 81–92 (2006)
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