Properties of neural networks with applications to modelling non-linear dynamical systems

S. A. BILLINGS Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield, SI, 3JD, U.K

H. B. JAMALUDDIN Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield, SI, 3JD, U.K

S. CHEN Department of Electrical Engineering, University of Edinburgh, Mayfield Road, Edinburgh, EH, 9 3JL, U.K

Abstract

Properties of neural network performance are investigated by studying the modelling of non-linear dynamical systems. Network complexity, node selection, prediction and the effects of noise are studied and some new metrics of performance are introduced. The results are illustrated with both simulated and industrial examples.

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Properties of neural networks with applications to modelling non-linear dynamical systems

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