SVR-D1.2: A Prediction Model for Population Occurrence of Paddy Stem Borer

Lichuan Gu ； Jinqin Zhong ； Youhua Zhang

《Research Journal of Applied Sciences, Engineering and Technology》 4卷16期 (2012/08) Pp. 2851-2856

並列摘要

In this study, we analyse the SVR-based prediction method for selecting the optimal model framework based on kernel matrix. Moreover, SVR-D1.2 is proposed with the help of the kernel matrix's symmetry and positive definition and kernel alignment. Test results show that there exactly exists the non-line relation between the insect population occurrence and the meteorological factors and the new prediction model, SVR-D1.2, improved prediction accuracy compared with other methods.

並列關鍵字

Feature selection ； kernel alignment ； rice paddy stem borer ； support vector regression