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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. altloc: [] chapter: ~ commentary: ~ commref: 'W. Thomas Miller, III, Richard S. Sutton, and Paul J. Werbos (Eds.) Neural Networks for Control. Cambridge, Massachusetts: The MIT Press. 1990. pp. 524.' confdates: ~ conference: ~ confloc: ~ contact_email: ~ creators_id: [] creators_name: - family: Metzger given: Mary Ann honourific: '' lineage: '' date: 1993-09 date_type: published datestamp: 2001-03-31 department: ~ dir: disk0/00/00/14/24 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 1424 fileinfo: /style/images/fileicons/text_html.png;/1424/1/cogprints/index.htm full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: 'Artificial neural networks, dynamical processes' lastmod: 2011-03-11 08:54:37 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: 3 pagerange: 477-485 pubdom: FALSE publication: Journal of Mathematical Psychology publisher: Academic Press refereed: TRUE referencetext: | 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. relation_type: [] relation_uri: [] reportno: ~ rev_number: 8 series: ~ source: ~ status_changed: 2007-09-12 16:37:43 subjects: - cog-psy - comp-sci-neural-nets - phil-dec-theory succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: A Step in the Right Direction type: journalp userid: 1090 volume: 37