Fire Detection Model Based on Fuzzy RBF Neural Network

摘要：

A fire detection model of fuzzy RBF neural network is proposed aiming at the problem that presently exists in the fire detection and the characteristic of fire detection signal. The fuzzy RBF neural network is trained and learned using the data of initial fire experiment. This paper takes the ambient temperature (TEM), smoke density (SMK), CO content (CO), infrared intensity (RED) as the input of the network, and the flame probability, smoldering fire probability and non-fire probability as the output. The fire detection model simulates by using the Matlab computer software. The simulation result shows that there is little difference between the actual output and expected output, and it proves that the method based on fuzzy RBF neural network is feasible and effective.

关键词： fire detection RBF neural network fuzzy logic intelligence method of detecting

作者: WANG Longxin WANG Hairong KANG Qingchun

作者单位: Team of Graduate Students,the Chinese People Armed Police Force Academy,Langfang 065000,Hebei,China Department of Fire Engineering,the Chinese People Armed Police Force Academy,Langfang 065000,Hebei,C Department of Fire Commanding,the Chinese People Armed Police Force Academy,Langfang 065000,Hebei,Ch

会议类型: 国际会议

会议名称: The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)

会议地点: 北京

会议语种:英文

页码: 880-883

在线出版日期: 2008-09-24（万方平台首次上网日期，不代表论文的发表时间）