IMPROVING PARAMETERS OF V-SUPPORT VECTOR REGRESSION WITH FEATURE SELECTION IN PARALLEL BY USING QUASI-OPPOSITIONAL AND HARRIS HAWKS OPTIMIZATION ALGORITHM

Numerous real-world problems have been addressed using support vector regression, particularly v-support vector regression (v-SVR), but some parameters need to be manually changed. Furthermore, v-SVR does not support feature selection. Techniques inspired from nature were used to identify features...

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Detalhes bibliográficos

Principais autores:	Omar Mohammed Ismael, Omar Saber Qasim, Zakariya Yahya Algamal
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Lublin University of Technology 2024-06-01
Colecção:	Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Assuntos:	v-support vector regression Harris hawks algorithm hyper-parameter selection quasi-oppositional learning
Acesso em linha:	https://ph.pollub.pl/index.php/iapgos/article/view/5729
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