Knowledge Discovery of Hailstone Echo Time Series based on Mutual Information Network Model
A novel method—Mutual Information of the network model (MINM) is proposed to discover knowledge in the time series database in the field of hailstone echo forecast for the first time. With the optimization of rules which were obtained from knowledge discovery, an approach of automatic hail echo forecast was proposed and implemented. Theoretical analysis and experiment have shown that this method was able to forecast the hail echo on the radar image effectively. In conclusion, the research of this paper can be applied to the practical situations, and has made great contribution to the hailstone automatic forecast system.
Time series database mutual information knowledge discovery hailstone echo forecast
Lu Zhiying Wan Huisong Wang Lei Jia Huizhen
School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China Tianjin Meteorological Bureau, Tianjin, 300074, China
国际会议
上海
英文
2104-2108
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）