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Employing artificial bee and ant colony optimization in machine learning techniques as a cognitive neuroscience tool.

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第一作者： Kajal,Mahawar

第一单位： Lovely Professional University, Phagwara, 144411, Punjab, India.

作者： Kajal,Mahawar ^[1] ; Punam,Rattan ^[1] ; Ammar,Jalamneh ^[2] ; Mohd Shukri,Ab Yajid ^[3] ; Omar,Abdeljaber ^[4] ; Raman,Kumar ^[5] ; Ayodele,Lasisi ^[6] ; Muhammad Imam,Ammarullah ^[7]

作者单位： Lovely Professional University, Phagwara, 144411, Punjab, India. ^[1] College of Arts and Science, Applied Science University, Al Ekir, 3201, Kingdom of Bahrain. ^[2] Management and Science University, Shah Alam, 40100, Selangor, Malaysia. ^[3] Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan. ^[4] Department of Mechanical and Production Engineering, Guru Nanak Dev Engineering College, Ludhiana, 141006, Punjab, India.;Jadara University Research Center, Jadara University, Irbid, 733, Jordan. ^[5] Department of Computer Science, College of Computer Science, King Khalid University, Abha, 61421, Asir, Saudi Arabia. ^[6] Department of Mechanical Engineering, Faculty of Engineering, Universitas Diponegoro, Semarang, 50275, Central Java, Indonesia. imamammarullah@gmail.com.;Undip Biomechanics Engineering & Research Centre (UBM-ERC), Universitas Diponegoro, 50275, Semarang, Central Java, Indonesia. imamammarullah@gmail.com. ^[7]

关键词 Ant colony optimization Artificial bee colony Decision tree Hyperparameter tuning Kendall Tau Machine learning Student learning outcomes