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Article type: Research Article
Authors: Rogers, D. M. | Dagli, C. H.; *
Affiliations: Smart Engineering Systems Laboratory, Department of Engineering Management, University of Missouri—Rolla, Rolla, MO 65409-0370
Correspondence: [*] Author to whom all correspondence should be addressed.
Abstract: In this article, a computerized process control technique based on an artificial neural network (ANN) is presented. The process of concern is the wood dryer portion of an industrial retort used for the dehydration stage of wood waste pyrolysis. A standard backpropagation network structure is used to associate patterns of sensor readings with appropriate, heuristically determined control responses. As heuristic programming is employed, the dryer controller is similar to a typical knowledge base system, except that it is driven by an ANN rather than the more traditional rule base normally associated with expert system type applications.
DOI: 10.3233/ICA-1996-3304
Journal: Integrated Computer-Aided Engineering, vol. 3, no. 3, pp. 199-211, 1996
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