PM2.5/PM10 Ratio Prediction Based on a Long Short-term Memory Neural Network in Wuhan, China

Published: 15 Jun 2019 | Version 1 | DOI: 10.17632/zk9k53zw3z.1
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Description of this data

Python code for predicting the LSTM model of PM2.5/PM10

Experiment data files

Latest version

  • Version 1

    2019-06-15

    Published: 2019-06-15

    DOI: 10.17632/zk9k53zw3z.1

    Cite this dataset

    Wu, Xueling (2019), “PM2.5/PM10 Ratio Prediction Based on a Long Short-term Memory Neural Network in Wuhan, China”, Mendeley Data, v1 http://dx.doi.org/10.17632/zk9k53zw3z.1

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Categories

Environment and Health

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The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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