Question: can i use svm for time series?
Answer: However, the data time series are often full of nonlinearity and irregularity. ... The ability of SVM to solve nonlinear regression estimation problems makes SVM successful in time series forecasting. It has become a hot topic of intensive study due to its successful application in classification and regression tasks.