Forecasting DO of the river-type reservoirs using input variable selection and machine learning techniques - taking Shuikou reservoir in the Minjiang River as an example-Reference-Cited by-同舟云学术

Forecasting DO of the river-type reservoirs using input variable selection and machine learning techniques - taking Shuikou reservoir in the Minjiang River as an example

Published:2023-11 Issue: Volume:155 Page:110995
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Zhang Peng^ORCID,Mei Shuhao,Shi Chengchun,Xie Rongrong,Zhuo Yue,Wang Yishu

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference38 articles.

1. Accurate dissolved oxygen prediction for aquaculture using stacked ensemble machine learning model;Abdul Haq;National Academy Science Letters,2023

2. Modeling multistep ahead dissolved oxygen concentration using improved support vector machines by a hybrid metaheuristic algorithm;Adnan;Sustainability-Basel,2022

3. Dissolved oxygen modelling of yamuna river using different ANFIS models;Arora;Water Science and Technology,2021

4. A combined model of dissolved oxygen prediction in the pond based on multiple-factor analysis and multi-scale feature extraction;Cao;Aquaculture Engineering,2019

5. Prediction of dissolved oxygen content in aquaculture based on clustering and improved ELM;Cao;IEEE Access,2021

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2. Enhanced Predictive Modeling of Dissolved Oxygen Concentrations in Riverine Systems Using Novel Hybrid Temporal Pattern Attention Deep Neural Networks;Environmental Research;2024-09

3. Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River;Engineering Applications of Computational Fluid Mechanics;2024-01-23

4. Enhanced Predictive Modeling of Dissolved Oxygen Concentrations in Riverine Systems Using Novel Hybrid Temporal Pattern Attention Deep Neural Networks;2024