基于ART-2神经模糊网络的火灾探测系统

ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344) Pub Date : 1998-10-12 DOI:10.1109/ICOSP.1998.770871

Zhang Qing, Wang Shu

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引用次数: 5

摘要

ART-2神经网络是一种基于自适应共振理论的自组织人工网络。提出了一种将ART-2和模糊系统串联起来的神经模糊网络，并将其应用于火灾探测。实验结果表明，该系统比BP神经网络具有更强的环境适应能力。能够快速准确地探测到各种标准试验火种，具有较强的抗干扰能力。

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

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.

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来源期刊

ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)

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