Recurrent Polynomial and Neural Structures in Modelling of a Neutralisation Process
2015
This work discusses modelling of a neutralisation process by means of two recurrent modelling techniques: polynomials and neural networks. Model structures and training algorithms are shortly discussed. Two recurrent model classes are compared in terms of accuracy and complexity. Advantages of neural models are emphasised.
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