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Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)
Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)
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Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)

Wunsch, Andreas ; Liesch, Tanja ; Broda, Stefan

Hydrology and earth system sciences, 2021-04, Vol.25 (3), p.1671-1687 [Peer Reviewed Journal]

Katlenburg-Lindau: Copernicus GmbH

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A Nonlinear Autoregressive Modeling Approach for Forecasting Groundwater Level Fluctuation in Urban Aquifers
A Nonlinear Autoregressive Modeling Approach for Forecasting Groundwater Level Fluctuation in Urban Aquifers
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A Nonlinear Autoregressive Modeling Approach for Forecasting Groundwater Level Fluctuation in Urban Aquifers

Alsumaiei, Abdullah A.

Water (Basel), 2020-03, Vol.12 (3), p.820 [Peer Reviewed Journal]

Basel: MDPI AG

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3
A Water Consumption Forecasting Model by Using a Nonlinear Autoregressive Network with Exogenous Inputs Based on Rough Attributes
A Water Consumption Forecasting Model by Using a Nonlinear Autoregressive Network with Exogenous Inputs Based on Rough Attributes
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A Water Consumption Forecasting Model by Using a Nonlinear Autoregressive Network with Exogenous Inputs Based on Rough Attributes

Zheng, Yihong ; Zhang, Wanjuan ; Xie, Jingjing ; Liu, Qiao

Water (Basel), 2022-02, Vol.14 (3), p.329 [Peer Reviewed Journal]

Basel: MDPI AG

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4
Long-term forecasting system using wavelet – nonlinear autoregressive neural network conjunction model
Long-term forecasting system using wavelet – nonlinear autoregressive neural network conjunction model
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Long-term forecasting system using wavelet – nonlinear autoregressive neural network conjunction model

Kummong, Ratree ; Supratid, Siriporn

Journal of modelling in management, 2019-10, Vol.14 (4), p.948-971 [Peer Reviewed Journal]

Bradford: Emerald Publishing Limited

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5
Cluster Forecasting of Corruption Using Nonlinear Autoregressive Models with Exogenous Variables (NARX)—An Artificial Neural Network Analysis
Cluster Forecasting of Corruption Using Nonlinear Autoregressive Models with Exogenous Variables (NARX)—An Artificial Neural Network Analysis
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Cluster Forecasting of Corruption Using Nonlinear Autoregressive Models with Exogenous Variables (NARX)—An Artificial Neural Network Analysis

Ghahari, SeyedAli ; Queiroz, Cesar ; Labi, Samuel ; McNeil, Sue

Sustainability, 2021-10, Vol.13 (20), p.11366 [Peer Reviewed Journal]

Basel: MDPI AG

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6
Forecasting hourly global solar radiation using hybrid k-means and nonlinear autoregressive neural network models
Forecasting hourly global solar radiation using hybrid k-means and nonlinear autoregressive neural network models
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Forecasting hourly global solar radiation using hybrid k-means and nonlinear autoregressive neural network models

Benmouiza, Khalil ; Cheknane, Ali

Energy conversion and management, 2013-11, Vol.75, p.561-569 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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7
TIME SERIES FORECASTING FOR OUTDOOR TEMPERATURE USING NONLINEAR AUTOREGRESSIVE NEURAL NETWORK MODELS
TIME SERIES FORECASTING FOR OUTDOOR TEMPERATURE USING NONLINEAR AUTOREGRESSIVE NEURAL NETWORK MODELS
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TIME SERIES FORECASTING FOR OUTDOOR TEMPERATURE USING NONLINEAR AUTOREGRESSIVE NEURAL NETWORK MODELS

Narejo, Sanam ; Pasero, Eros

Journal of Theoretical and Applied Information Technology, 2016-12, Vol.94 (2), p.451-451

Islamabad: Journal of Theoretical and Applied Information

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8
Forecasting of Groundwater Level using Artificial Neural Network by incorporating river recharge and river bank infiltration
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 [Peer Reviewed Journal]

Les Ulis: EDP Sciences

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9
Tide Prediction in the Venice Lagoon Using Nonlinear Autoregressive Exogenous (NARX) Neural Network
Tide Prediction in the Venice Lagoon Using Nonlinear Autoregressive Exogenous (NARX) Neural Network
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Tide Prediction in the Venice Lagoon Using Nonlinear Autoregressive Exogenous (NARX) Neural Network

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

Water (Basel), 2021-05, Vol.13 (9), p.1173 [Peer Reviewed Journal]

Basel: MDPI AG

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10
Bandung Rainfall Forecast and Its Relationship with Niño 3.4 Using Nonlinear Autoregressive Exogenous Neural Network
Bandung Rainfall Forecast and Its Relationship with Niño 3.4 Using Nonlinear Autoregressive Exogenous Neural Network
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Bandung Rainfall Forecast and Its Relationship with Niño 3.4 Using Nonlinear Autoregressive Exogenous Neural Network

Pontoh, Resa Septiani ; Toharudin, Toni ; Ruchjana, Budi Nurani ; Sijabat, Novika ; Puspita, Mentari Dara

Atmosphere, 2022-02, Vol.13 (2), p.302 [Peer Reviewed Journal]

Basel: MDPI AG

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