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基于模糊 ART-2 的神经网络火灾探测系统
引用本文:张青,王殊,张帆. 基于模糊 ART-2 的神经网络火灾探测系统[J]. 华中科技大学学报(自然科学版), 1998, 0(4)
作者姓名:张青  王殊  张帆
作者单位:华中理工大学电子与信息工程系
基金项目:武汉市晨光计划资助项目
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.

关 键 词:火灾探测;ART-2;模糊神经网络;信号处理

A Fire Detection System Using ART 2 Neuro Fuzzy Network
Zhang Qing Doctoral Candidate, Dept. of Electronics , Information Eng.,HUST,Wuhan ,China.Wang Shu Zhang Fan. A Fire Detection System Using ART 2 Neuro Fuzzy Network[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 1998, 0(4)
Authors:Zhang Qing Doctoral Candidate   Dept. of Electronics & Information Eng.  HUST  Wuhan   China.Wang Shu Zhang Fan
Affiliation:Zhang Qing Doctoral Candidate, Dept. of Electronics & Information Eng.,HUST,Wuhan 430074,China.Wang Shu Zhang Fan
Abstract: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.
Keywords:fire detection  ART 2  neuro fuzzy network  signal processing
本文献已被 CNKI 等数据库收录!
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