Fuzzy neural networks and application to the FBC process

Abstract

Implementation of fuzzy systems using multilayer perceptron artificial neural networks is considered, and detailed equations for training the network are derived. Models for the fluidised bed nitrogen emissions are created using linear regression, multilayer perceptron neural networks, and fuzzy neural networks to illustrate and compare the behaviour of the algorithms.