Application of fuzzy logic and neural network to the control of a flame process

In this paper, we proposed an implementation of a vision-guided flame control system based on fuzzy logic and neural network. The fuzzy control approach avoids the problem of constructing a burning model for the flame process. The use of neural network makes it easy to increase the number of control parameters and provides the system possibility to adjust its performance automatically