Patrick J. Connally

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Nonlinear identification using a novel neural network paradigm, namely eng-genes, is investigated. A set of MATLAB functions for the training and simulation of eng-genes based neural models are described. These functions are then used to investigate the effectiveness of the technique applied to two nonlinear dynamical systems. Experimental data from a pH(More)
* This version was created in 1998 by optical character recognition from a scanned copy of the 1989 edition printed report to Microsoft Word 6, to provide an " accessible " copy of the document for computerized distribution. The word processing files used to create the original report are no longer available. Equations, figures/tables, and parts of the(More)
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