【摘要】 应用多层次前馈网络构造模糊变量隶属度函数和模糊推理控制模型,使神经网络不再表现为黑箱式映射,其所有节点和参数都具有模糊系统等价意义。将模糊规则与隶属度函数用神经网络表现出来。利用神经网络的自学习特性,实现隶属度函数和模糊规则的自动提取,可优化调整隶属度函数,同时模糊系统也弥补了神经网络运算速度慢的缺点。更多还原

【Abstract】 The application of fuzzy neural network in fire detection can exert the characteristic in common of the fuzzy system and the neural network.When the fuzzy system is combined with neural network,fuzzy rules and subjection function can be exhibited by the neural network and be picked up through self-study trait of neural network.Moreover,fuzzy system can also make up the shortcoming of slow operational rate of the neural network.更多还原