Data Mining Research in Early Warning Model of Chlorine Gas Monitoring Wireless Sensor Network

• Published in: 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control pp. 711 - 715
• Main Authors: Wang Rongxin, Xiu Debin, Zhou Yushan, Liu Congning, Shi Yunbo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2014
• Subjects: Data mining; Data models; Fletcher-Reeves algorithm; Monitoring; Neural networks; Prediction algorithms; Training; wireless sensor network; Wireless sensor networks

Massive historical data are stored in chlorine gas monitoring network. So that prediction algorithm of data mining is used to dig historical data not only can make the redundant data reused, but also can forecast the network trend and improve the network early warning model. The chlorine gas monitor...