Hybrid machine learning for forecasting and monitoring air pollution in Surabaya
This research aims to propose hybrid machine learnings for forecasting and monitoring air pollution in Surabaya. In particular, we introduce two hybrid machine learnings, i.e. hybrid Time Series Regression – Feedforward Neural Network (TSR-FFNN) and hybrid Time Series Regression – Long Short-Term Me...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/98170/ http://dx.doi.org/10.1007/978-981-16-7334-4_27 |
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