Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their universal approximation ability, their parallel network structure and the availability of on- and off-line learning methods for the interconnection weights. However, dynamic models that contain neural network architectures might be highly non-linear and difficult to analyse as a result. Artificial Neural Networks for Modelling and Control of Non-Linear Systems investigates the subject from a system theoretical point of view. However the mathematical theory that is required.
Artificial Neural Networks for Modelling and Control of Non-Linear Systems download
Artificial Neural Networks for Modelling and Control of Non-Linear Systems book series pdf
Artificial Neural Networks for Modelling and Control of Non-Linear Systems by Johan A.K. Suykens ebook pdf epub mobi
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