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2013 (Vol. 5, Issue: 19)
Article Information:

Study of Flue-Cured Tobacco Classification Model Based on the PSO-SVM

Hongmei Li, Jiande Wu, Kuake Huang, Xiaodong Wang and Tingting Leng
Corresponding Author:  Jiande Wu 

Key words:  Flue-cured tobacco, tobacco grade, particle swarm optimization algorithm, SVM, , ,
Vol. 5 , (19): 4671-4676
Submitted Accepted Published
September 26, 2012 December 11, 2012 May 10, 2013
Abstract:

In this study, we study the flue-cured tobacco classification model based on the PSO-SVM. Firstly we use the Gaussian Radial Basis Function (RBF) as the kernel function of SVM and then use the Particle Swarm Optimization algorithm (PSO) to optimize the structural parameters of the SVM classifier, established the flue-cured tobacco classification model based on the PSO-SVM. Collecting a wide range of tobacco data in Qujing Yunnan Province, to train and validate the model. At last, compared with the grid parameter optimization and genetic algorithm-based parameter optimization model, the results show that the proposed model based on particle swarm optimization with high prediction accuracy and better adaptability when used in tobacco grading.
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  Cite this Reference:
Hongmei Li, Jiande Wu, Kuake Huang, Xiaodong Wang and Tingting Leng, 2013. Study of Flue-Cured Tobacco Classification Model Based on the PSO-SVM.  Research Journal of Applied Sciences, Engineering and Technology, 5(19): 4671-4676.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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