来源:Deephub Imba 本文约1700字,建议阅读5分钟
本文介绍了在预测中使用LSTM架构的5篇最新论文。
1、Integrating LSTMs and GNNs for COVID-19 Forecasting
2、Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey
3、Long Short-Term Memory Neural Network for Financial Time Series(arXiv)
https://arxiv.org/pdf/2201.08218.pdf
4、Demand Forecasting in Smart Grid Using Long Short-Term Memory(arXiv)
https://arxiv.org/pdf/2107.13653.pdf
5、Forecasting Commodity Prices Using Long Short-Term Memory Neural Networks(arXiv)
https://arxiv.org/pdf/2101.03087.pdf
编辑:王菁
校对:林亦霖