Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/425
Title: Elephant herding optimization algorithm for support vector machine parameters tuning
Authors: Tuba, Eva
Stanimirović, Zorica 
Affiliations: Numerical Mathematics and Optimization 
Keywords: Elephant herding optimization;Support vector machine;SVM parameter tuning;Swarm intelligence
Issue Date: 4-Dec-2017
Related Publication(s): Proceedings of the 9th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2017
Abstract: 
Classification is part of various applications and it is an important problem that represents active research topic. Support vector machine is one of the widely used and very powerful classifier. The accuracy of support vector machine highly depends on learning parameters. Optimal parameters can be efficiently determined by using swarm intelligence algorithms. In this paper, we proposed recent ele...
URI: https://research.matf.bg.ac.rs/handle/123456789/425
ISBN: 9781509064571
DOI: 10.1109/ECAI.2017.8166464
Appears in Collections:Research outputs

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