Multifactor prediction of sea water quality based on improved <i>K</i>-LSTM-Reference-Cited by-同舟云学术

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Multifactor prediction of sea water quality based on improved K-LSTM

Published:2022-08-18 Issue:1 Volume:596 Page:13-26
ISSN:0015-0193
Container-title:Ferroelectrics
language:en
Short-container-title:Ferroelectrics

Author:

Xie Zaimi¹²,Wang Ji¹²,Yang Yuqiang²³,Li Ying²³

Affiliation:

1. College of Mathematics and Computer Science, Guangdong Ocean University, Guangdong, Zhanjiang, China

2. Research Center of Guangdong Smart Oceans Sensor Networks and Equipment Engineering, Guangdong, Zhanjiang, China

3. College of Electronic and Information Engineering, Guangdong Ocean University, Guangdong, Zhanjiang, China

Funder

National Natural Science Foundation of China

New Generation Information Technology Special Project in Key Fields of Guangdong Universities

Artificial Intelligence Key Project of Guangdong Province

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

https://www.tandfonline.com/doi/pdf/10.1080/00150193.2022.2087246

Reference22 articles.

1. Research of dissolved oxygen prediction in recirculating aquaculture systems based on deep belief network

2. Evaluation of Aquaculture Water Quality Based on Improved Fuzzy Comprehensive Evaluation Method

3. Characterization and assessment of a large-scale domestic advanced wastewater treatment plant in Turkey

4. RETRACTED ARTICLE: Marine biological ecological environment monitoring based on complex dynamic network model

5. NDVI dynamic changes and their relationship with meteorological factors and soil moisture

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