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Vol. 16, Special Issue, November 2012, pp. 203-209

 

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Optimization SVM Algorithm and itís Application in Agricultural Science and Technology Project Classification

 

1, 3 Hui Feng Yan, 3 Wei Feng Wang, 2 Qin Mao, 3 Ming Liang Zhou

1 The key lab of Opto Electronics Technology and System,

Ministry of Education, Chong Qing University, 400065, China

Tel.:+86-13983499782

2 Qiannan Normal College for Nationalities department of computer, Duyun, 558000, China

3 College of Mobile Telecommunications Chong Qing University of Posts and Telecom, China

1 E-mail: 4423360@qq.com

 

Received: 11 September 2012   /Accepted: 11 October 2012   /Published: 20 November 2012

Digital Sensors and Sensor Sysstems

 

Abstract: To describe Optimization SVM algorithm, Author applies it to the classification of agricultural science and technology project, algorithm depends on of the limitations which the experience of selected parameters, presents a particle swarm optimization (PSO) pattern search algorithm to search for optimal parameters, and applied it to the project of agricultural science and technology classification. Experimental results show that algorithm is an efficient method of SVM parameter optimization, the author puts algorithm into agricultural science and technology in the process of classification shows that algorithm is not only high efficiency, and the optimal parameters is to achieve a higher accuracy rate.

 

Keywords: SVM, Particle swarm optimization, Kernel parameter selection

 

 

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