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本文根据火灾探测的特点，提出了相应的模糊神经网络系统，论述了综合处理多种火灾信号的模糊推理计算模型和学习其法；针对具体应用，对网络结果进行了改进．由于模糊神经网络的自适应特性和推理过程易于理解的特点，明显提高了火灾探测的灵活性和准确性．
Based on the characteristics of fire detection, this paper puts forward the corresponding fuzzy neural network system, discusses the fuzzy inference processing model which comprehensively deals with various fire signals and learns its method. The network results are improved for specific applications. Due to the adaptive nature of the fuzzy neural network and the easy-to-understand reasoning process, the flexibility and accuracy of fire detection is obviously improved.