Building a multi-output hybrid model for interval-valued time series forecasting
Building a multi-output hybrid model for interval-valued time series forecasting
In this paper, multi-input multi-output least square support vector regression (MIMOLSSVR) is an improved algorithm based on support vector machine (SVM), with the combination of the sliding-window algorithm is proposed for interval-valued time series forecasting, a new branch in time series analysis field.