在预测中使用LSTM架构的最新5篇论文推荐
数据派THU
共 2490字,需浏览 5分钟
· 2022-05-10
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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。
![](https://filescdn.proginn.com/4f2edb6a27cd9fda073443966082a5ab/2b2bb2c3664036c8b901d126ab48ffe3.webp)
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
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