Application of wavelet-based neural networks to the modelling and optimisation of an experimental distillation column

Abstract This paper presents an application of wavelet-based neural networks with localised and hierarchical multiresolution learning, namely wave-nets. The multiresolution framework of wave-nets is briefly explained, and a misconception in the original presentation of wave-nets is modified. A simple numerical example is provided, to clarify the idea. Then, wave-nets are employed to simplify the mechanistic model of a distillation column. The capability of the wave-net model is also verified within a hybrid modelling framework for the optimisation study of the column.

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