Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM)-Reference-Cited by-同舟云学术

Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM)

Published:2020 Issue: Volume: Page:142-153
ISSN:0302-9743
Container-title:Advances in Neural Networks – ISNN 2020
language:
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Author:

Zhang Nian,Dai Xiangguang,Ehsan M. A.,Deksissa Tolessa

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-64221-1_13

Reference10 articles.

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3. Agana, N.A., Homaifar, A.: A deep learning based approach for long-term drought prediction. In: SoutheastCon 2017, Charlotte, USA, 30 March–2 April, pp. 1–8 (2017)

4. Fu, M., Fan, T., Ding, Z., Salih, S.Q., Al-Ansari, N., Yaseen, Z.M.: Deep learning data-intelligence model based on adjusted forecasting window scale: application in daily streamflow simulation. IEEE Access 8, 32632–32651 (2020)

5. Filik, Ü.B., Filik, T.: Wind speed prediction using artificial neural networks based on multiple local measurements in eskisehir. Energy Procedia 107, 264–269 (2017)

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