Optimization SVM algorithm and it's application in agricultural science and technology project classification

Hui Feng YAN*, Wei Feng WANG, Qin MAO, Ming Liang ZHOU

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

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.

Original languageEnglish
Pages (from-to)203-209
Number of pages7
JournalSensors and Transducers
Volume16
Publication statusPublished - 20 Nov 2012
Externally publishedYes

Bibliographical note

Copyright © 2012 IFSA

Keywords

  • Kernel parameter selection
  • Particle swarm optimization
  • SVM

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