Forecasting of Carbon Monoxide Concentration Based on Sequence-to-Sequence Deep Learning Approach
Air quality; Brain; Carbon monoxide; Errors; Forecasting; Mean square error; Network architecture; Air pollutants; Carbon monoxide concentration; Convolutional neural network; Deep learning; Forecasting models; Human health; Learning approach; Monitoring stations; Root mean square errors; Sequence m...
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| Main Authors: | , , |
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| Format: | Conference Paper |
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Springer Science and Business Media Deutschland GmbH
2023
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| Summary: | Air quality; Brain; Carbon monoxide; Errors; Forecasting; Mean square error; Network architecture; Air pollutants; Carbon monoxide concentration; Convolutional neural network; Deep learning; Forecasting models; Human health; Learning approach; Monitoring stations; Root mean square errors; Sequence models; Long short-term memory |
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