Recurrent Neural Networks for Time Series Forecasting
University of Debrecen（德布勒森大学）
英文摘要：
Time series forecasting is difficult. It is difficult even for recurrent neural networks with their inherent ability to learn sequentiality. This article presents a recurrent neural network based time series forecasting framework covering feature engineering, feature importances, point and interval predictions, and forecast evaluation. The description of the method is followed by an empirical study using both LSTM and GRU networks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
