Search Results - subject:"Support vector regression"

Potential assessment of the support vector regression technique in rainfall forecasting

Hong, Wei-Chiang; Pai, Ping-Feng - In: Water Resources Management 21 (2007) 2, pp. 495-513

floods. Based on statistical learning theory, support vector regression (SVR) has been used to deal with forecasting problems …

Persistent link: https://www.econbiz.de/10010794687

Estimation of Discharge and End Depth in Trapezoidal Channel by Support Vector Machines

Pal, Mahesh; Goel, Arun - In: Water Resources Management 21 (2007) 10, pp. 1763-1780

This paper presents the results of an application of support vector machines based modelling technique (radial based kernel and polynomial kernel) to determine discharge and end-depth of a free overfall occurring over a smooth trapezoidal channel with positive, horizontal or zero and negative...

Persistent link: https://www.econbiz.de/10010997781

A Forecasting Methodology Using Support Vector Regression and Dynamic Feature Selection

Guajardo, José; Weber, Richard; Miranda, Jaime - In: Journal of Information & Knowledge Management (JIKM) 05 (2006) 04, pp. 329-335

Vector Regression. What makes the difference in many real-world applications, however, is not the technique but an … successfully used, as well as regression approaches based on e.g. linear, non-linear regression, neural networks, and Support …

Persistent link: https://www.econbiz.de/10005047340