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A Step in the Right Direction

Metzger, Mary Ann (1993) A Step in the Right Direction. [Journal (Paginated)]

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Abstract

A review of W. Thomas Miller, III, Richard S. Sutton, and Paul J. Werbos (Eds.) Neural Networks for Control. Cambridge, Massachusetts: The MIT Press. 1990. pp. 524. This multi-disciplinary volume concerns the use of artificial neural networks in controlling dynamical processes. As used here 'dynamical' describes processes, such as certain chemical reaction systems, robots, or manufacturing plants, whose operation is governed by known or unknown non-linear models and which, therefore, are subject to certain types of problems related to unpredictability and chaotic performance. Artificial neural networks (ANN) are mathematical models whose components emulate the function of biological nervous systems.

Item Type:Journal (Paginated)
Keywords:Artificial neural networks, dynamical processes
Subjects:Psychology > Cognitive Psychology
Computer Science > Neural Nets
Philosophy > Decision Theory
ID Code:1424
Deposited By:Metzger, Mary Ann
Deposited On:31 Mar 2001
Last Modified:12 Sep 2007 17:37

References in Article

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Anderson, D. B. O., Moore, J. B. and Hawkes, R. M. (1978) Model approximations via prediction error identification. Automatics. 14, 615-622.

Carpenter, G. A., Grossberg, S., and Reynolds, J. H. (1991) ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing system. Neural Networks, 4, 565-588.

Pole, A., West, M., and Harrison, J. (1988) Nonnormal and nonlinear dynamic Bayesian modeling. In J. C. Spall (ed.) Bayesian analysis of time series and dynamic models. New York: Marcell Dekker, Inc.

West, M. and Harrison, J. (1989) Bayesian forecasting and dynamic models. Springer-Verlag New York Inc.

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