Groundwater level estimation using improved deep learning and soft computing methods

Author:

Mirboluki Amin,Mehraein Mojtaba,Kisi Ozgur,Kuriqi Alban,Barati Reza

Funder

Research unit CERIS

Publisher

Springer Science and Business Media LLC

Reference57 articles.

1. Adnan RM, Mirboluki A, Mehraein M, Malik A, Heddam S, Kisi O (2023) Improved prediction of monthly streamflow in a mountainous region by Metaheuristic-Enhanced deep learning and machine learning models using hydroclimatic data. Theor Appl Climatol 155(1):1–24

2. Afzaal H, Farooque AA, Abbas F, Acharya B, Esau T (2019) Groundwater estimation from major physical hydrology components using artificial neural networks and deep learning. Water 12(1):5–23

3. Akbari M, Jarge M, Madani S (2009) Assessment of decreasing of groundwater-table using Geographic Information System (GIS)(Case study: Mashhad Plain Aquifer). J Water Soil Conserv 16(4):63–78

4. Alipour A, Hashemi S, Shokri SBS, Moravej M (2018) Spatio-temporal analysis of groundwater level in an arid area. Int J Water 12(1):66–81

5. Altan A, Karasu S, Zio E (2021) A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer. Appl Soft Comput 100:106996

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