APPLICATION OF NEURAL-FUZZY CONTROLLER IN FLAME CAPACITANCE TOMOGRAPHY

This paper describes a capacitance tomography based closed loop control for stationary-flames using fuzzy logic and neural networks. Experts' knowledge and training patterns can be incorporated into fuzzy rules with neurons. With the help of powerful learning capability of neural networks,the system could adjust its performance efficiently.