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(O3), 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 variable...
保存先:
主要な著者: | , , , , , |
---|---|
その他の著者: | |
フォーマット: | 論文 |
出版事項: |
Taylor and Francis Ltd.
2023
|
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|