Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Artigo
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Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)Wunsch, Andreas ; Liesch, Tanja ; Broda, StefanJournal of hydrology (Amsterdam), 2018-12, Vol.567, p.743-758 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |
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2 |
Material Type: Newsletter Articles
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Hydrology; New Hydrology Findings from Karlsruhe Institute of Technology Described [Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)]Science Letter, 2019, p.661Atlanta: NewsRxTexto completo disponível |
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3 |
Material Type: Artigo
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Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networksFabio, Di Nunno ; Abba, S. I. ; Pham, Bao Quoc ; Towfiqul Islam, Abu Reza Md ; Talukdar, Swapan ; Francesco, GranataArabian journal of geosciences, 2022, Vol.15 (7), Article 647 [Periódico revisado por pares]Cham: Springer International PublishingTexto completo disponível |
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4 |
Material Type: Artigo
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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, StefanHydrology and earth system sciences, 2021-04, Vol.25 (3), p.1671-1687 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |
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5 |
Material Type: Artigo
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A Nonlinear Autoregressive Modeling Approach for Forecasting Groundwater Level Fluctuation in Urban AquifersAlsumaiei, Abdullah A.Water (Basel), 2020-03, Vol.12 (3), p.820 [Periódico revisado por pares]Basel: MDPI AGTexto completo disponível |
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6 |
Material Type: Newsletter Articles
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New Hydrology Findings from Karlsruhe Institute of Technology Described [Forecasting groundwater levels using nonlinear autoregressive networks with exogenous inputScience Letter, 2019, p.661-661NewsRX LLCTexto completo disponível |
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7 |
Material Type: Newsletter Articles
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New Hydrology Findings from Karlsruhe Institute of Technology Described [Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input ]Science Letter, 2019, p.661NewsRX LLCTexto completo disponível |
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8 |
Material Type: Artigo
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A Water Consumption Forecasting Model by Using a Nonlinear Autoregressive Network with Exogenous Inputs Based on Rough AttributesZheng, Yihong ; Zhang, Wanjuan ; Xie, Jingjing ; Liu, QiaoWater (Basel), 2022-02, Vol.14 (3), p.329 [Periódico revisado por pares]Basel: MDPI AGTexto completo disponível |
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9 |
Material Type: Artigo
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Long-term forecasting system using wavelet – nonlinear autoregressive neural network conjunction modelKummong, Ratree ; Supratid, SiripornJournal of modelling in management, 2019-10, Vol.14 (4), p.948-971 [Periódico revisado por pares]Bradford: Emerald Publishing LimitedTexto completo disponível |
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10 |
Material Type: Artigo
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Cluster Forecasting of Corruption Using Nonlinear Autoregressive Models with Exogenous Variables (NARX)—An Artificial Neural Network AnalysisGhahari, SeyedAli ; Queiroz, Cesar ; Labi, Samuel ; McNeil, SueSustainability, 2021-10, Vol.13 (20), p.11366 [Periódico revisado por pares]Basel: MDPI AGTexto completo disponível |