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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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Enregistré dans:
Auteurs principaux: Sri Rossa Aisyah Puteri Baharie, Sugiyarto Surono, Aris Thobirin
Format: Artigo
Langue:Inglês
Publié: Ikatan Ahli Informatika Indonesia 2025-02-01
Collection:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Sujets:
hybrid gradient descent grey wolf optimizer
hyperparameter optimization
diabetes prediction
machine learning
support vector machine (svm)
Accès en ligne:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6203
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