The Construction of Support Vector Machine Classifier Using the Firefly Algorithm

The Construction of Support Vector Machine Classifier Using the Firefly Algorithm

The setting of parameters in the support vector machines (SVMs) is very important with regard to its accuracy and efficiency. In this paper, we employ the firefly algorithm to train all parameters of the SVM simultaneously, including the penalty parameter, smoothness parameter, and Lagrangian multip...

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Bibliographic Details
Main Authors:	Chih-Feng Chao, Ming-Huwi Horng
Format:	Article
Language:	English
Published:	Hindawi Limited 2015-01-01
Series:	Computational Intelligence and Neuroscience
Online Access:	http://dx.doi.org/10.1155/2015/212719

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