Application Research on Intelligent Pattern Recognition Methods in Hail Identification of Weather Radar

摘要：

Firstly, advantages of the learning ability of intelligent pattern recognition models, which have been used in hail identification of weather radar based on echo parameters, is discussed. Then, structures and working principles of hail identification models which based on fuzzy neural network and support vector machines (SVM) are described respectively. Finally, effect validation of hail identification has been finished by using echo samples from Chengdu and Kuitun to train the hail identification models. The experimental results show that hail identification models based on intelligent pattern recognition have the better effect than which based on the statistical pattern recognition. Besides, in the case of limited training samples, the identification model based on SVM has stronger adaptability than which based on fuzzy neural network.

关键词： hail identification weather radar fuzzy neural network support vector machines(SVM) echo parameters

作者: SHE Yong YU Lei WEI Yi

作者单位: Science & Technology Research Institute Chengdu University of Information Technology Chengdu Sichuan Weather Radar Research Institute UNHANG electronic system engineering Ltd.Chengdu Sichuan, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 554-558

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）