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

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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