A fire detection system based on ART-2 neuro-fuzzy network

Abstract

The ART-2 neural network is a self-organized artificial network that operates according to adaptive resonance theory. A neuro-fuzzy network, which combines ART-2 and the fuzzy system in series, is presented and applied to fire detection. The results of experiments show that this system has a stronger ability to adapt to the environment than the backpropagation (BP) neural network. It can detect various standard test fires more rapidly and accurately, and has strong anti-interference capability.