摘要
将信息融合技术应用在火灾监控系统中,利用ART-2(自适应共振理论模型)和三层前馈网络对多传感器信息进行两级融合,综合多种火灾参数来进行监测、报警,提高了系统的可靠性和通用性,减少了误报警的发生。着重介绍了神经网络的选择、设计及训练过程。实验证明系统准确且可靠。
Most of the fire detecting systems today are applicable for special application environment.To improve the reliability and applicability of the system,information fusion technology is used in this system.ART-2(self-adapting resonance theoretical model) and triple feedforward network are used to harmonize the data from sensors.Thus,false alarm is reduced.Selection,design and training of the neural network are emphasized.The system is proved to be accurate and reliable.
出处
《仪表技术》
2007年第9期31-33,共3页
Instrumentation Technology
关键词
火灾监控
信息融合
神经网络
monitoring and control system of fire
information fusion
neural network
