A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting

A dynamic computational graph neural network system that enables a standard exponential smoothing model to be mixed with advanced long short term memory networks into a common framework is used and the result is a hybrid and hierarchical forecasting method.