SS09 – Special Session on Soft computing for forecasting Industrial Time Series

Abstract Time series forecasting is an important area of research as there are many prediction problems that involve a time component. However, while the time component adds additional information, it also makes time series problems more difficult to handle compared to many other prediction tasks. This Special Session aims at evaluating different machine learning methodologies … Continue reading SS09 – Special Session on Soft computing for forecasting Industrial Time Series