Research Article | OPEN ACCESS
Study of Flue-Cured Tobacco Classification Model Based on the PSO-SVM
1Hongmei Li, 1Jiande Wu, 3, 4Kuake Huang, 1Xiaodong Wang and 2Tingting Leng
1Faculty of Information Engineering and Automation
2Faculty of Civil and Architectural Engineering, Kunming University of Science and Technology, Kunming, 650500, China
3Yunnan Agricultural University, Kunming 650000, China
4Qujing Branch, Yunnan Tobacco Company, Kunming 655000, China
Research Journal of Applied Sciences, Engineering and Technology 2013 19:4671-4676
Received: September 26, 2012 | Accepted: December 11, 2012 | Published: 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.
Keywords:
Flue-cured tobacco, tobacco grade, particle swarm optimization algorithm, SVM,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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