摘要
应用模糊控制理论,结合神经网络算法,设计了基于模糊神经网络的智能型火灾报警系统,不仅提高了系统精度,而且将气味传感器应用于带式输送机胶带火灾检测。仿真结果表明,能提高系统对井下环境适应能力,减少误报率。
By using the fuzzy control theory and combining with the neural network algorithm, the intelligent fire alarm system based on the fuzzy neural network is designed. It not only raises the accuracy of the system but also makes the odor sensor use for the fire detection of conveying belt. The simulation result shows that the system can heighten the adaptability to the underground environment and reduce the probability of false alarms.
出处
《煤矿机电》
2007年第5期84-86,共3页
Colliery Mechanical & Electrical Technology
