promoting the forecasting performance of time-series models, this paper proposes a hybrid time-series support vector regression … (SVR) model based on empirical mode decomposition (EMD) to forecast stock price for Taiwan stock exchange capitalization …

demand planned year. Hybridization of support vector regression (SVR) with chaotic sequence and evolutionary algorithms has …

. Support vector regression (SVR) is proven to be useful in dealing with non-linear forecasting problems in recent years. The …

Support vector regression (SVR), with hybrid chaotic sequence and evolutionary algorithms to determine suitable values …