Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration

Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration

The reliable prediction of dissolved oxygen concentration (DO) is significantly crucial for protecting the health of the aquatic ecosystem. The current research employed four different single AI-based models, namely long short-term memory neural network (LSTM), extreme learning machine (ELM), Hammer...

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Bibliographic Details
Main Authors: Sani Isah Abba, Nguyen Thi Thuy Linh, Jazuli Abdullahi, Shaban Ismael Albrka Ali, Quoc Bao Pham, Rabiu Aliyu Abdulkadir, Romulus Costache, Van Thai Nam, Duong Tran Anh
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dissolved oxygen
artificial intelligence
ensemble techniques
hybrid random forest ensemble
Kinta River
Online Access:https://ieeexplore.ieee.org/document/9171277/

Internet

https://ieeexplore.ieee.org/document/9171277/

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