火灾信号的智能探测模型研究

Study on Intelligent Fire signal Detection Model

针对火灾信号探测中存在的非结构性问题,本文提出基于模糊神经网络的火灾探测模型结构,详细阐述了模糊神经网络的设计方法与学习算法,并进行了计算机仿真,得到较为满意的结果。理论分析和仿真研究表明,基于模糊神经网络的火灾探测模型用于火灾探测具有误差小、函数逼近速度快等优点,可以有效地提高火灾探测的灵敏度,降低漏报、误报率。

According to the non-structural characteristics of fire detection signals, a fire detection model based on fuzzy-neural network is put forward, and the design method of the fuzzy-neural network, as well as its learning algorithm, is expounded in this paper. Computer simulation was performed and satisfactory results were obtained. Theory analysis and simulation study show that the proposed fire detection model based on fuzzy-neural network has the advantages of smaller error and rapid function approximation, can improve sensibility and lower mistake and failure rate in fire detection.