Rainfall Prediction Using Gated Recurrent Unit Based on DMI and Nino3.4 Index-Reference-Cited by-同舟云学术

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Rainfall Prediction Using Gated Recurrent Unit Based on DMI and Nino3.4 Index

Published:2022-07-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
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Author:

Nurrohman Huda Febrianto¹,Novitasari Dian Candra Rini¹,Setiawan Fajar²,Rochimah ³,Taufiq Amal⁴,Hamid Abdulloh¹

Affiliation:

1. Sunan Ampel State Islamic University,Mathematics Department,Surabaya,Indonesia

2. Perak Maritime Meteorology Station II,Surabaya,Indonesia

3. Sunan Ampel State Islamic University,History of Islamic Civilization Department,Surabaya,Indonesia

4. Sunan Ampel State Islamic University,Sociology Department,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9886000/9887377/09887474.pdf?arnumber=9887474

Reference31 articles.

1. Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

2. Niño 3.4 SST Index;National Ocean Service website,2021

3. A Deep Learning Integrated Lee–Carter Model

4. Prediction of Rainfall Using Intensified LSTM Based Recurrent Neural Network with Weighted Linear Units

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