摘要
介绍了基于模糊神经网络智能火灾报警系统,在系统中应用了模糊控制理论既提高了系统的精度又最大限度地减少了系统的误报率,解决了火灾报警系统中长期存在的问题。结合具有自学习功能的神经网络算法,提高了系统的智能化程度,是现代智能控制理论在消防自动化系统中的应用。
An intelligent fire alarm system based on fuzzy neural networks is introduced. It increases the accuracy,at the same time it reduces the misinformation rate of the system,and solves the problem which has existed for a long time.By using the neural network which has the function of self-learning the intelligence of the system is increased,and it is an example of using intelligence control in the automatic firefight system.
出处
《煤矿机械》
北大核心
2005年第5期14-16,共3页
Coal Mine Machinery
基金
河南省科技攻关计划项目(0424460013)
