Application of LSSVM by ABC in energy commodity price forecasting

• Main Authors: Mustaffa, Zuriani, Yusof, Yuhanis, Kamaruddin, Siti Sakira
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/20650/1/PEOCO%202014%2094%2098.pdf; http://repo.uum.edu.my/20650/; http://doi.org/10.1109/PEOCO.2014.6814406
• Institution: Universiti Utara Malaysia

The importance of the hyper parameters selection for a kernel-based algorithm, viz.Least Squares Support Vector Machines (LSSVM) has been a critical concern in literature.In order to meet the requirement, this work utilizes a variant of Artificial Bee Colony (known as mABC) for hyper parameters sele...