Hybrid deep learning model for ozone concentration prediction: Comprehensive evaluation and comparison with various machine and deep learning algorithms
To accurately predict tropospheric ozone concentration(O-3), it is needed to investigate the variety of artificial intelligence techniques' performance, such as machine learning, deep learning and hybrid models. This research aims to effectively predict the hourly ozone trend via fewer input va...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Taylor & Francis
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/28354/ |
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