Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results

no code implementations • 29 Aug 2018 • Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang

To enable accurate forecasting on such correlated time series, this paper proposes two models that combine convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Correlated Time Series Forecasting Multi-Task Learning +1