Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/68642
Título: | A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms |
Autor(es): | Pinto, Renê Souza Costa, M. Fernanda P. Costa, Lino Gaspar-Cunha, A. |
Palavras-chave: | Feature selection Multi-objective optimization Neuroevolutionary |
Data: | 2021 |
Editora: | Springer |
Revista: | Computational Methods in Applied Sciences |
Citação: | Pinto R.S., Costa M.F.P., Costa L.A., Gaspar-Cunha A. (2021) A Neuroevolutionary Approach to Feature Selection Using Multiobjective Evolutionary Algorithms. In: Gaspar-Cunha A., Periaux J., Giannakoglou K.C., Gauger N.R., Quagliarella D., Greiner D. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-030-57422-2_6 |
Resumo(s): | Feature selection plays a central role in predictive analysis where datasets have hundreds or thousands of variables available. It can also reduce the overall training time and the computational costs of the classifiers used. However, feature selection methods can be computationally intensive or dependent of human expertise to analyze data. This study proposes a neuroevolutionary approach which uses multiobjective evolutionary algorithms to optimize neural network parameters in order to find the best network able to identify the most important variables of analyzed data. Classification is done through a Support Vector Machine (SVM) classifier where specific parameters are also optimized. The method is applied to datasets with different number of features and classes. |
Tipo: | Capítulo de livro |
Descrição: | First Online: 24 November 2020 |
URI: | https://hdl.handle.net/1822/68642 |
ISBN: | 978-3-030-57421-5 |
e-ISBN: | 978-3-030-57422-2 |
DOI: | 10.1007/978-3-030-57422-2_6 |
ISSN: | 1871-3033 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-030-57422-2_6 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | IPC - Resumos alargados em actas de encontros científicos internacionais com arbitragem |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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full paper Feature Selection_final.pdf | 611,31 kB | Adobe PDF | Ver/Abrir |