A fuzzy neural network for fire detection is presented according to the cha
racteristics of fire signals, and a calculating model of fuzzy inference is
proposed to process fire signals. Fuzzy operations are applied to analyze
synthetically different kinds of fire signals. Then, a calculating model of
learning algorithm is created for a set of membership functions and fuzzy
rules. The fuzzy neural network, which combines the techniques of neural ne
twork and fuzzy logic, offers a signal processing method for fire detection
with fuzzy and adaptive characteristics simultaneously.