文献类型：会议论文

英文题名：Intelligent Community Intrusion Detection System Based on Wireless Sensor Network and Fuzzy Neural Network

作者：Tian, Jingwen[1];Gao, Meijuan[1]

通讯作者：Tian, JW[1]

机构：[1]Beijing Union Univ, Coll Automat, Beijing, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Automat, Beijing, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：2nd ISECS International Colloquium on Computing, Communication, Control and Management (CCCM 2009)

会议日期：AUG 08-09, 2009

会议地点：Sanya, PEOPLES R CHINA

语种：英文

外文关键词：intelligent community; intrusion detection; wireless sensor network; fuzzy neural network; face recognition

摘要：An intelligent community intrusion detection system based on wireless sensor network and fuzzy neural network (FNN) is presented in this paper. This system is composed of ARM (Advanced RISC Machines) data acquisition nodes, wireless mesh network and control centre. The data acquisition node uses sensors to collect information and processes them by image detection algorithm, and then transmits information to control centre with wireless mesh network. When there is abnormal phenomenon, the system starts the camera and the FNN is used to recognize the face image. We construct the structure of fuzzy neural network, and adopt the Levenberg-Marquart optimizing algorithm to train fuzzy neural network, thereby enhancing the convergence rate and the recognition accuracy. With the ability of strong self-learning and nonlinear function approach of fuzzy neural network, the recognition method can truly classify the face. This system resolves the defect and improves the intelligence and alleviates worker's working stress.