Gasoline price forecasting: An application of LSSVM with improved ABC

• المؤلفون الرئيسيون: Mustaffa, Zuriani, Yusof, Yuhanis, Kamaruddin, Siti Sakira
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: Elsevier Ltd. 2014
• الموضوعات: QA76 Computer software
• الوصول للمادة أونلاين: http://repo.uum.edu.my/14831/1/1-s2.0RG.pdf; http://repo.uum.edu.my/14831/; http://doi.org/10.1016/j.sbspro.2014.03.718

Optimizing the hyper-parameters of Least Squares Support Vector Machines (LSSVM) is crucial as it will directly influence the predictive power of the algorithm.To tackle such issue, this study proposes an improved Artificial Bee Colony (IABC) algorithm which is based on conventional mutation.The IAB...