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...

Whakaahuatanga katoa

Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Omar Mohammed Ismael, Omar Saber Qasim, Zakariya Yahya Algamal
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Lublin University of Technology 2024-06-01
Rangatū:	Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Ngā marau:	v-support vector regression Harris hawks algorithm hyper-parameter selection quasi-oppositional learning
Urunga tuihono:	https://ph.pollub.pl/index.php/iapgos/article/view/5729
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!