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根据火灾信号的特点,建立了用于火灾探测的模糊神经网络,给出了处理火灾信号的模糊推理计算模型,并采用模糊运算,对于不同种类的火灾信号进行了综合分析,随后推导出用于自动生成隶属函数和提取模糊规则学习算法的计算模型。模糊神经网络将神经网络技术与模糊技术进行了有机结合,为火灾探测提供了一种同时具有模糊化和自适应特性的信号处理方法。
According to the characteristics of the fire signal, a fuzzy neural network for fire detection is established. The fuzzy inference model for dealing with fire signals is given. The fuzzy operation is used to comprehensively analyze the different types of fire signals. Then, Automatic generation of membership functions and extraction of fuzzy rules learning algorithm calculation model. Fuzzy neural network combines neural network technology with fuzzy technology to provide a signal processing method for fire detection that has both fuzzy and adaptive characteristics.