Record title

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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TN_cdi_doaj_primary_oai_doaj_org_article_3929c45b3daf46b58d19444802d82ae6

https://collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3929c45b3daf46b58d19444802d82ae6

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)

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Katlenburg-Lindau: Copernicus GmbH

Journal title

Hydrology and earth system sciences, 2021, Vol.25 (3), p.1671-1687

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TN_cdi_doaj_primary_oai_doaj_org_article_3929c45b3daf46b58d19444802d82ae6

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English

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TN_cdi_doaj_primary_oai_doaj_org_article_3929c45b3daf46b58d19444802d82ae6

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https://collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3929c45b3daf46b58d19444802d82ae6

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