Comparison of Machine Learning Models for Hazardous Gas Dispersion Prediction in Field Cases
Dispersion prediction plays a significant role in the management and emergency response to hazardous gas emissions and accidental leaks. Compared with conventional atmospheric dispersion models, machine leaning (ML) models have both high accuracy and efficiency in terms of prediction, especially in...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-07-01
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| Series: | International Journal of Environmental Research and Public Health |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1660-4601/15/7/1450 |