摘要
提出将ＡＲＴ－２神经网络与模糊系统串联而成的模糊ＡＲＴ－２神经网络系统并用于火灾探测，使其对火灾信号具有很好的聚类特性．实验结果表明，该系统比ＢＰ神经网络火灾探测系统具有更强的适应环境的能力，能够更快、更准确地探测各种标准试验火并具有很强的抗干扰能力．
ART 2 neural network is a self organized artificial network according to Adaptive Resonance Theory. A neuro fuzzy network, which combines ART 2 and fuzzy system in series, is presented and applied to fire detection. It has good classifying character to fire signals. Results of experiment show that this system has stronger ability to adapt environment than the BP neural network. It can detect various standard test fires more rapidly and accurately, and has strong anti interference capability.
出处
《华中理工大学学报》
CSCD
北大核心
1998年第4期97-99,共3页
Journal of Huazhong University of Science and Technology
基金
武汉市晨光计划资助项目
