Article

Sequential GP-UCB Bayesian Optimization for Deep Neural Network Fine-Tuning in Dissolved Oxygen Prediction

2024-02-16

Abstract excerpt

Dissolved Oxygen (DO) is a key indicator of water quality, essential for sustaining aquatic ecosystems and human uses. Machine learning, particularly deep learning, is recognized as an effective approach for predicting DO levels by learning from data rather than requiring explicit human knowledge input. The effectiveness of deep learning models improves with fine-tuning of hyperparameters. Amongst hyperparameter t...

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Literature Corpus work: e60a816c-7b1c-5d73-bd35-45e739e93961
DOI: 10.21203/rs.3.rs-3930680/v1

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