Time series prediction techniques have been used in many real-world applications such as
financial market prediction, electric utility load forecasting, weather and environmental state …

With the development of science and technology as well as the advancement of production
technology, contemporary equipment is increasingly develo** towards large-scale …

This study investigates the accuracy of least square support vector machine (LSSVM),
multivariate adaptive regression splines (MARS) and M5 model tree (M5Tree) in modeling …

This study presents an innovative hybrid Adaptive Support Vector Machine-Monte Carlo
Simulation (ASVM-MCS) framework for reliability analysis in complex engineering …

Accurate prediction of water quality parameters plays a crucial and decisive role in
environmental monitoring, ecological systems sustainability, human health, aquaculture and …

Public health surveillance systems provide valuable data for reliable predication of future
epidemic events. This paper describes a study that used nine types of infectious disease …

Electricity load demand estimation has a remarkable impact on the economic policies of
power industry and business cycles. Forecasting the movements of load demand provides to …

Accurately electric load forecasting has become the most important management goal,
however, electric load often presents nonlinear data patterns. Therefore, a rigid forecasting …

The forecasting of electricity demand has become one of the major research fields in
electrical engineering. Accurately estimated forecasts are essential part of an efficient power …

Accurate forecasting of inter-urban traffic flow has been one of the most important issues
globally in the research on road traffic congestion. However, the information of inter-urban …