摘要
根据火灾探测的特点，提出相应的模糊神经网络，论述综合处理多种火灾信号的模糊处理计算模型；针对具体应用，对网络结构进行了改进。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，它很适用于高层建筑这样的复杂环境，并可明显提高火灾探测的灵活性和准确性。
The paper proposes a FNN(Fuzzy Neural Network)system according to the characteristic of fire detection,and discusses the fuzzy logic model and learning algorithms of processing several kinds of fire signals.The network structure is improved under some specific circumstances.Because FNN is adaptive and its inferential process is understandable,it has improved obviously the flexibility and accuracy of fire detection.
出处
《人类工效学》
1999年第1期6-9,共4页
Chinese Journal of Ergonomics
