摘要
提出一种利用神经网络和模糊推理系统设计火灾报警系统的方法,该系统将模糊系统和神经网络结合起来,实现模糊系统的自学习和自适应功能,提高火灾报警的准确性,减少了火灾报警系统漏报率和误报率。神经网络的学习方法提高了该系统智能化程度,实现了消防系统智能化。
This paper presents a multi-sensor fire detection algorithm .The processing of the sensor signals are carried out by fuzzy inference system based on neural network.Used fuzzy inference and neural network,the function of fuzzy system＇s self-learning and self-adaptation is achieved .Moreover,it increases the accuracy of fire-alarming and reduces the misinformation and missing information rate of the system.The intelligence of system is increased by using leafing method of neural network,and it is an example of using intelligence control in firefight system.
出处
《自动化与仪表》
2006年第1期40-43,共4页
Automation & Instrumentation
关键词
模糊推理系统
神经网络
火灾报警系统
fuzzy inference system
neural networ
fire-alarming system
