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1
Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)
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Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)

Wunsch, Andreas ; Liesch, Tanja ; Broda, Stefan

Journal of hydrology (Amsterdam), 2018-12, Vol.567, p.743-758 [Periódico revisado por pares]

Elsevier B.V

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Short-Term Wind Speed Forecasting Using Nonlinear Autoregressive Neural Network: A Case Study in Kocaeli-Türkiye
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Short-Term Wind Speed Forecasting Using Nonlinear Autoregressive Neural Network: A Case Study in Kocaeli-Türkiye

Gidom, Maysa ; Kökçam, Abdullah H. ; Uyaroğlu, Yılmaz

Electric power components and systems, 2024-02, Vol.52 (3), p.381-399 [Periódico revisado por pares]

Philadelphia: Taylor & Francis

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3
Short-Term Water Demand Forecasting Using Nonlinear Autoregressive Artificial Neural Networks
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Short-Term Water Demand Forecasting Using Nonlinear Autoregressive Artificial Neural Networks

Bata, Mo’tamad H ; Carriveau, Rupp ; Ting, David S.-K

Journal of water resources planning and management, 2020-03, Vol.146 (3) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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4
Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks
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Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks

Saba, Amal I. ; Elsheikh, Ammar H.

Process safety and environmental protection, 2020-09, Vol.141, p.1-8 [Periódico revisado por pares]

England: Elsevier B.V

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5
Time series-based groundwater level forecasting using gated recurrent unit deep neural networks
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Time series-based groundwater level forecasting using gated recurrent unit deep neural networks

Lin, Haiping ; Gharehbaghi, Amin ; Zhang, Qian ; Band, Shahab S. ; Pai, Hao Ting ; Chau, Kwok-Wing ; Mosavi, Amir

Engineering applications of computational fluid mechanics, 2022-12, Vol.16 (1), p.1655-1672 [Periódico revisado por pares]

Hong Kong: Taylor & Francis

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6
Groundwater level forecasting using artificial neural networks
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Groundwater level forecasting using artificial neural networks

Daliakopoulos, Ioannis N. ; Coulibaly, Paulin ; Tsanis, Ioannis K.

Journal of hydrology (Amsterdam), 2005-07, Vol.309 (1), p.229-240 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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7
Using Artificial Neural Network Approach for Simultaneous Forecasting of Weekly Groundwater Levels at Multiple Sites
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Using Artificial Neural Network Approach for Simultaneous Forecasting of Weekly Groundwater Levels at Multiple Sites

Mohanty, S. ; Jha, Madan K. ; Raul, S. K. ; Panda, R. K. ; Sudheer, K. P.

Water resources management, 2015-12, Vol.29 (15), p.5521-5532 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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8
Groundwater Level Forecasting in a Shallow Aquifer Using Artificial Neural Network Approach
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Groundwater Level Forecasting in a Shallow Aquifer Using Artificial Neural Network Approach

Nayak, P.C ; Rao, Y.R.S ; Sudheer, K.P

Water resources management, 2006-02, Vol.20 (1), p.77-90 [Periódico revisado por pares]

Dordrecht: Springer

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9
Forecasting Groundwater Level in Shiraz Plain Using Artificial Neural Networks
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Forecasting Groundwater Level in Shiraz Plain Using Artificial Neural Networks

Rakhshandehroo, Gholam Reza ; Vaghefi, Mohammad ; Aghbolaghi, Mehdi Asadi

Arabian Journal for Science and Engineering, 2012-10, Vol.37 (7), p.1871-1883 [Periódico revisado por pares]

Berlin/Heidelberg: Springer-Verlag

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10
Forecasting of Groundwater Level using Artificial Neural Network by incorporating river recharge and river bank infiltration
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Forecasting of Groundwater Level using Artificial Neural Network by incorporating river recharge and river bank infiltration

Nizar Shamsuddin, Mohd Khairul ; Mohd Kusin, Faradiella ; Sulaiman, Wan Nor Azmin ; Ramli, Mohammad Firuz ; Tajul Baharuddin, Mohamad Faizal ; Adnan, Mohd Shalahuddin Yee Yong, L. ; Mohd Shalahuddin, A. ; Alvin John Meng Siang, L. ; Mohamad Hanifi, O. ; Zainorizuan, M.J. ; Siti Nazahiyah, R.

MATEC Web of Conferences, 2017, Vol.103, p.4007 [Periódico revisado por pares]

Les Ulis: EDP Sciences

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