A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of Streamflow-Reference-Cited by-同舟云学术

A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of Streamflow

Published:2022-11 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Data Mining Workshops (ICDMW)
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Author:

Ramirez Rochac Juan F.¹,Zhang Nian²,Deksissa Tolessa³,Xu Jiajun⁴,Thompson Lara⁴

Affiliation:

1. Technology University of the District of Columbia,Department of Computer Science and Information,Washington,D.C.,USA

2. University of the District of Columbia,Department of Electrical and Computer, Engineering,Washington,D.C.,USA

3. Water Resources Research Institute, University of the District of Columbia,Washington,D.C.,USA

4. University of the District of Columbia,Department of Mechanical Engineering,Washington,D.C.,USA

Publisher

IEEE

Link

Reference17 articles.

2. Adam: a method for stochastic optimization;kingma;The 3rd International Conference on Learning Representatations (ICLR),0

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