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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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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4352751/ https://ncbi.nlm.nih.gov/pubmed/25802511 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/212719 |
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