Signal Processing Method for Fire Detection Based on Fuzzy Neural Network
Dezhong Zheng · Chuangan jishu xuebao · 2007
A fire detection system model and calculating model of fuzzy neural network for processing fire signal are proposed aiming at the characteristic of fire detection signal.Through integrating fuzzy system and neural network,this method realizes constructing fuzzy system by neural network and adjusting system parameter automatically by self-learning and self-adapting ability of neural network..Using reformative BP algorithm completes the network learning and training.The network is trained and tested using country testing fire data,system error is less than standard error,which shows the validity and feasibility of the algorithm.