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Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networks
Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networks
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Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networks

Fabio, Di Nunno ; Abba, S. I. ; Pham, Bao Quoc ; Towfiqul Islam, Abu Reza Md ; Talukdar, Swapan ; Francesco, Granata

Arabian journal of geosciences, 2022, Vol.15 (7), Article 647 [Periódico revisado por pares]

Cham: Springer International Publishing

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2
Nonlinear autoregressive neural networks with external inputs for forecasting of typhoon inundation level
Nonlinear autoregressive neural networks with external inputs for forecasting of typhoon inundation level
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Nonlinear autoregressive neural networks with external inputs for forecasting of typhoon inundation level

Ouyang, Huei-Tau

Environmental monitoring and assessment, 2017-08, Vol.189 (8), p.376-376, Article 376 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
Small-scale solar radiation forecasting using ARMA and nonlinear autoregressive neural network models
Small-scale solar radiation forecasting using ARMA and nonlinear autoregressive neural network models
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Small-scale solar radiation forecasting using ARMA and nonlinear autoregressive neural network models

Benmouiza, Khalil ; Cheknane, Ali

Theoretical and applied climatology, 2016-05, Vol.124 (3-4), p.945-958 [Periódico revisado por pares]

Vienna: Springer Vienna

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4
Groundwater Level Forecasting in a Shallow Aquifer Using Artificial Neural Network Approach
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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5
Forecasting of groundwater level in hard rock region using artificial neural network
Forecasting of groundwater level in hard rock region using artificial neural network
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Forecasting of groundwater level in hard rock region using artificial neural network

Banerjee, Pallavi ; Prasad, R. K ; Singh, V. S

Environmental Geology, 2009-09, Vol.58 (6), p.1239-1246 [Periódico revisado por pares]

Berlin/Heidelberg: Berlin/Heidelberg : Springer-Verlag

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6
Using Artificial Neural Network Approach for Simultaneous Forecasting of Weekly Groundwater Levels at Multiple Sites
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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7
Forecasting Groundwater Level in Shiraz Plain Using Artificial Neural Networks
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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8
Short-term forecasting of groundwater levels under conditions of mine-tailings recharge using wavelet ensemble neural network models
Short-term forecasting of groundwater levels under conditions of mine-tailings recharge using wavelet ensemble neural network models
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Short-term forecasting of groundwater levels under conditions of mine-tailings recharge using wavelet ensemble neural network models

Khalil, Bahaa ; Broda, Stefan ; Adamowski, Jan ; Ozga-Zielinski, Bogdan ; Donohoe, Amanda

Hydrogeology journal, 2015-02, Vol.23 (1), p.121-141 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
Using artificial neural network models for groundwater level forecasting and assessment of the relative impacts of influencing factors
Using artificial neural network models for groundwater level forecasting and assessment of the relative impacts of influencing factors
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Using artificial neural network models for groundwater level forecasting and assessment of the relative impacts of influencing factors

Lee, Sanghoon ; Lee, Kang-Kun ; Yoon, Heesung

Hydrogeology journal, 2019-03, Vol.27 (2), p.567-579 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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10
Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models
Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models
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Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models

Di Nunno, Fabio ; Granata, Francesco ; Gargano, Rudy ; de Marinis, Giovanni

Environmental monitoring and assessment, 2021-06, Vol.193 (6), p.350-350, Article 350 [Periódico revisado por pares]

Cham: Springer International Publishing

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