Multi-step ahead prediction of lake water temperature using neural network and physically-based model-Reference-Cited by-同舟云学术

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Multi-step ahead prediction of lake water temperature using neural network and physically-based model

Published:2024-08-05 Issue: Volume: Page:1-13
ISSN:0022-1686
Container-title:Journal of Hydraulic Research
language:en
Short-container-title:Journal of Hydraulic Research

Author:

Chen Chuqiang¹^ORCID,Xue Xinhua²^ORCID

Affiliation:

1. State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, PR China

2. State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, PR China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00221686.2024.2377132

Reference58 articles.

1. Machine Learning for Fluid Mechanics

2. Chen, L. C., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018). Encoder-decoder with atrous separable convolution for semantic image segmentation. Paper presented at the European conference on computer vision (ECCV). https://doi.org/10.1007/978-3-030-01234-2_49

3. Cheng J. P. Dong L. & Lapata M. (2016). Long short-term memory-networks for machine reading. arXiv:1601.06733v7. https://doi.org/10.48550/arXiv.1601.06733

4. Changeability of Accumulated Heat Content in Alpine-Type Lakes

5. Applications for deep learning in ecology

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