Accurate Prediction of Dissolved Oxygen in Perch Aquaculture Water by DE-GWO-SVR Hybrid Optimization Model

Accurate Prediction of Dissolved Oxygen in Perch Aquaculture Water by DE-GWO-SVR Hybrid Optimization Model

In order to realize the accurate and reliable prediction of the change trend of dissolved oxygen (DO) content in California perch aquaculture water, this paper proposes a second-order hybrid optimization support vector machine (SVR) model based on Differential Evolution (DE) and Gray Wolf Optimizer...

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Bibliographic Details
Main Authors: Xingsheng Bao, Yilun Jiang, Lintong Zhang, Bo Liu, Linjie Chen, Wenqing Zhang, Lihang Xie, Xinze Liu, Fangfang Qu, Renye Wu
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
dissolved oxygen
water quality prediction
differential evolution
gray wolf optimizer
Online Access:https://www.mdpi.com/2076-3417/14/2/856

Internet

https://www.mdpi.com/2076-3417/14/2/856

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