Recurrent Neural Network (RNN) versus Long Short Term Memory (LSTM), which method is best for air pollution cases

Fauzi, Fatkhurokhman (2024) Recurrent Neural Network (RNN) versus Long Short Term Memory (LSTM), which method is best for air pollution cases. Universitas Muhammadiyah Semarang. (Submitted)

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Evaluating recurrent neural networks and long short-term memory for air pollution forecasting_ mitigating the impact of volatile environmental factors.pdf
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Item Type: Other
Subjects: L Education > L Education (General)
Divisions: Jabatan Fungsional > Fatkhurokhman Fauzi
Depositing User: perpus unimus
Date Deposited: 21 May 2024 06:51
Last Modified: 21 May 2024 08:02
URI: http://repository.unimus.ac.id/id/eprint/7728

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