Water Quality Prediction Based on Multi-Indicator Relation Learning and Knowledge Transfer-Reference-Cited by-同舟云学术

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Water Quality Prediction Based on Multi-Indicator Relation Learning and Knowledge Transfer

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT)
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Author:

Wu Huan¹,Jiang Feng²,Zhao Zehua³,Tao Liang¹,Peng Lin⁴,Han Wenxun⁴,Gao Min⁴

Affiliation:

1. T.Y.Lin International Engineering Consulting (China) Co., Ltd.,Chongqing,China

2. Chongqing Business Vocational College,College of Environmental Science and Engineering,Chongqing,China

3. Faculty of Engineering the University of Sydney,Sydney,Australia

4. Chongqing University,School of Big Data and Software Engineering,Chongqing,China

Funder

Research and Development

Chongqing Municipal Education Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10137730/10137768/10137805.pdf?arnumber=10137805

Reference29 articles.

1. Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study

2. Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs)

3. A study on water quality prediction by a hybrid CNN-LSTM model with attention mechanism

4. A water quality prediction method based on the multi-time scale bidirectional long short-term memory network

5. Water quality prediction of Baiyangdian Lake based on multilayer fully connected neural network;liu;Journal of Agricultural and Environmental Science,2020

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