摘要
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．
The paper proposes a FNN(Fuzzy Neural Network) system according to the characteristic of firedetection, and discusses the fuzzy logic model and learning algorithms of processing kinds of fire signals. The network structure is improved under some specific circumstances. Because FNN is adaptive and its inferential processis understandable, it has improved obvioussly the flexibility and accuracy of detection.
出处
《信号处理》
CSCD
2000年第1期68-73,共6页
Journal of Signal Processing
关键词
模糊神经网络
火灾探测
模糊运算
Fuzzy Neural Network Fire Detection Fuzzy Operation
