LSTM Wastewater Quality Prediction Based on Attention Mechanism-Reference-Cited by-同舟云学术

LSTM Wastewater Quality Prediction Based on Attention Mechanism

Published:2021-12-04 Issue: Volume: Page:
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Container-title:2021 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)
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Author:

Wang Xiao-Feng¹,Wei Sheng-Nan²,Xu Li-Xiang¹,Pan Jun³,Wu Zhi-Ze¹,Kwong Timothy C. H.⁴,Tang Yuan-Yan⁵

Affiliation:

1. School of Artificial Intelligence and Big Data, Hefei University,Hefei,China,230601

2. School of Bio-Food and Environment, Hefei University,Hefei,China,230601

3. Hefei Aichuang Microelectronics Technology Co., Ltd,Hefei,China,231299

4. Tung Wah College,Hong Kong

5. Zhuhai UM Science and Technology Research Institute, FST University of Macau,Macau

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9736143/9736144/09736154.pdf?arnumber=9736154

Reference21 articles.

1. Water quality prediction method based on LSTM neural network

2. Knowledge-aware leap-lstm: Integrating prior know ledge into leap-lstm towards faster long text classification;du;Thirty-Fifth AAAI Conference on Artificial Intelligence AAAI 2021 Thirty- Third Conference on Innovative Applications of Artificial Intelligence IAAI 2021 The Eleventh Sympo-sium on Educational Advances in Artificial Intelligence EAAI 2021 Virtual Event,2021

3. Multi-Perspective LSTM for Joint Visual Representation Learning

4. Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video

5. Water quality multi-factor prediction model using lstm neural network based on k-similarity noise reduction;jing;Computer Systems & Applications,2019

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1. Water Quality Prediction Using Hybrid Classification Model;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

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