Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system

• Main Authors: Ayop Azmi, Nurnajmin Qasrina Ann, Pebrianti, Dwi, Abas, Mohammad Fadhil, Bayuaji, Luhur
• Format: Article
• Language: English; English
• Published: Institute of Advanced Engineering and Science (IAES) 2023
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://irep.iium.edu.my/101897/1/automated%20hyper%20parameter%20tuning.pdf; http://irep.iium.edu.my/101897/7/Scopus%20-%20Automated-tuned%20hyper-parameter.pdf; http://irep.iium.edu.my/101897/; https://ijece.iaescore.com/index.php/IJECE/article/view/28393/16425
• Institution: Universiti Islam Antarabangsa Malaysia

Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. This study proposes an automated-tuned hyper�parameter for DNN using a metaheuristic optimization algorithm, arithmetic optimizat...