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Abstract
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Article Information:
SVR-D1.2: A Prediction Model for Population Occurrence of Paddy Stem Borer
Lichuan Gu, Jinqin Zhong and Youhua Zhang
Corresponding Author: Lichuan Gu
Submitted: March 31, 2012
Accepted: May 12, 2012
Published: August 15, 2012 |
Abstract:
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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.
Key words: Feature selection, kernel alignment, rice paddy stem borer, support vector regression, , ,
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Cite this Reference:
Lichuan Gu, Jinqin Zhong and Youhua Zhang, . SVR-D1.2: A Prediction Model for Population Occurrence of Paddy Stem Borer. Research Journal of Applied Sciences, Engineering and Technology, (16): 2851-2856.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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