Hybrid Gradient Descent Grey Wolf Optimizer for Machine Learning Performance Enhancement

Advancements in machine learning have enabled the development of more accurate and efficient health prediction models. This study aims to improve diabetes prediction performance using the Support Vector Machine (SVM) model optimized with the Hybrid Gradient Descent Gray Wolf Optimizer (HGD-GWO) meth...

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Autors principals:	Sri Rossa Aisyah Puteri Baharie, Sugiyarto Surono, Aris Thobirin
Format:	Artigo
Idioma:	Inglês
Publicat:	Ikatan Ahli Informatika Indonesia 2025-02-01
Col·lecció:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Matèries:	hybrid gradient descent grey wolf optimizer hyperparameter optimization diabetes prediction machine learning support vector machine (svm)
Accés en línia:	https://jurnal.iaii.or.id/index.php/RESTI/article/view/6203
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Hybrid Gradient Descent Grey Wolf Optimizer for Machine Learning Performance Enhancement

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