Water quality prediction based on IGRA-ISSA-LSTM model-Reference-Cited by-同舟云学术

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Water quality prediction based on IGRA-ISSA-LSTM model

Published:2023-03 Issue:3 Volume:234 Page:
ISSN:0049-6979
Container-title:Water, Air, & Soil Pollution
language:en
Short-container-title:Water Air Soil Pollut

Author:

Jiange Jiao,Liqin Zhao,Senjun Huang,Qianqian Ma

Funder

Zhejiang Provincial Outstanding Youth Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Pollution,Water Science and Technology,Ecological Modeling,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11270-023-06117-x.pdf

Reference34 articles.

1. Arpan, K. K. (2016). Bio inspired computing a review of algorithms and scope of applications. Expert Systems with Applications, 59, 20–32. https://doi.org/10.1016/j.eswa.2016.04.018

2. Bevilacqua, A., & Mazzanti, A. (2021). Doubly-tuned transformer networks: A tutorial. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(2), 550–555. https://doi.org/10.1109/TCSII.2020.3046021

3. Boudardara, F., & Gorkemli, B. (2020). Solving artificial ant problem using two artificial bee colony programming versions. Applied Intelligence, 50, 3695–3717. https://doi.org/10.1007/s10489-020-01741-0

4. Cao, S. Q., Zhou, L. X., & Zhang, Z. (2021). A prediction model of dissolved oxygen in aquaculture was developed based on improved short and long-term memory neural network. Transactions of the Chinese Society of Agricultural Engineering, 37(1–4), 235–242. https://doi.org/10.11975/j.issn.1002-6819.2021.14.027

5. Chia, S. L., Chia, M. Y., Chai, H. K., & Huang, Y. F. (2022). Integration of advanced optimization algorithms into least-square support vector machine (LSSVM) for water quality index prediction. Water Supply, 22(2), 1951–1963. https://doi.org/10.2166/ws.2021.303

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