Neural Networks and Static Modelling
Igor Beli · InTech eBooks · 2012
Neural networks are model-less approximators, meaning they are capable of modelling regardless of any knowledge of the nature of the modelled system. For classical approximation techniques, it is often necessary to know the basic mathematical model of the approximated problem. Least square approximation (regression models), for example, searches for the best fit of the given data to the known function which represents the model.