Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning

Many real problems have been solved by support vector regression, especially v‐support vector regression (v‐SVR), but there are hyperparameters that usually needed to tune. In addition, v‐SVR cannot perform feature selection. Nature‐inspired algorithms have been used as a feature selection and as hy...

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Bibliographic Details

Published in:	Journal of chemometrics Vol. 34; no. 11
Main Authors:	Ismael, Omar Mohammed, Qasim, Omar Saber, Algamal, Zakariya Yahya
Format:	Journal Article
Language:	English
Published:	Chichester Wiley Subscription Services, Inc 01-11-2020
Subjects:	Algorithms Computing time Feature selection Harris hawks optimization algorithm hyperparameters selection Machine learning opposition‐based learning Optimization Optimization algorithms Regression Run time (computers) Support vector machines v‐support vector regression
Online Access:	Get full text
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