Gasoline price forecasting: An application of LSSVM with improved ABC

@inproceedings{Mustaffa2014GasolinePF,
  title={Gasoline price forecasting: An application of LSSVM with improved ABC},
  author={Zuriani Mustaffa and Yuhanis Yusof and Siti Sakira Kamaruddin},
  year={2014}
}
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 BeeColony (IABC) algorithm which is based on conventional mutation. The IABC serves as an optimizer for LSSVM. Realized in gasoline price forecasting, the performance is guided based on Mean Absolute Percentage Error (MAPE) and Root Mean Square Percentage Error (RMSPE… CONTINUE READING