Recurrent Neural Network Identification and Adaptive Neural Control of Hydrocarbon Biodegradation Processes

Abstract

The Recent advances in understanding of the working principles of artificial neural networks has given a tremendous boost to identification, prediction and control tools of nonlinear systems, (Narendra & Parthasarathy, 1990; Chen & Billings, 1992; Hunt et al., 1992; Miller III et al., 1992; Pao et al., 1992; Su et al., 1992; Narendra & Mukhopadhyay, 1994… (More)

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Cite this paper

@inproceedings{Baruch2012RecurrentNN, title={Recurrent Neural Network Identification and Adaptive Neural Control of Hydrocarbon Biodegradation Processes}, author={Ieroham Baruch and Carlos R. Mariaca-Gaspar and Josefina Barrera-Cort{\'e}s}, year={2012} }