Fuzzy Neural Network Applied Research In The Detection Of The Fire

According to the characteristics of fire detection, the thesis mainly puts forward a sort of thought of applying fuzzy neural network to fire detection in order to reduce the false alarm rate and improve the veracity. It first expatiates on the basis of applying fuzzy neural network in fire detection . It also summarizes the development and the principle of fuzzy control system, neural network and fuzzy neural network. The fuzzy system and the neural network have the ability of apery thought. They can also deal with non-linearity configuration. The application of fuzzy neural network in fire detection can exert the characteristic in common of the fuzzy system and the neural network. When the fuzzy system is combined with neural network, fuzzy rules and subjection function can be exhibited by the neural network and be picked up through self-study trait of neural network. Moreover, Fuzzy system can also make up the shortcoming of slow operational rate of the neural network. So fuzzy neural network in fire detection will have lower misinformation rate , higher security and stronger environmental adaptive capability. The thesis also introduces the construction of fuzzy neural network, expounds the design course and the arithmetic. Besides , it trains the fuzzy neural network and gains the satisfying results. This work shows that the thought is feasible.