Journal of the Korean Society of Hazard Mitigation

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Application of Neural Networks to Predict Daecheong Dam Water Levels

Yong Min Ryu, Eui Hoon Lee

J. Korean Soc. Hazard Mitig.. 2022;22(1):67-78. Published online February 24, 2022
DOI: https://doi.org/10.9798/KOSHAM.2022.22.1.67

Application of Neural Networks to Predict Daecheong Dam Water Levels

Yong Min Ryu, Eui Hoon Lee

Journal of the Korean Society of Hazard Mitigation. 2022;22(1):67-78

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Application of Artificial Neural Networks to Predict Total Dissolved Solids at the Karaj Dam

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Environmental Quality Management. 2017;26(3):55-72

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Field-Scale Application of Three Types of Neural Networks to Predict Ground-Water Levels

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Journal of the American Water Resources Association. 2007;43(5):1245-1256

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Neural network models to predict soil water retention

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European Journal of Soil Science. 1999;50(3):489-495

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An Application of Neural Networks to Predict COVID-19 Cases in Italy

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Forecasting Reservoir Water Levels Using Deep Neural Networks: A Case Study of Angat Dam in the Philippines

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Application of Artificial Neural Networks to Predict Cotton Production: A Case Study in Diyarbakır Province, Turkey

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RETRACTED ARTICLE: Artificial neural networks application to predict the compressive damage of lightweight geopolymer

Ali Nazari

Neural Computing and Applications. 2012;23(2):507-518

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Retraction Note to: Artificial neural networks application to predict the compressive damage of lightweight geopolymer

Ali Nazari

Neural Computing and Applications. 2021;33(18):12239-12239

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Application of Elman Neural Networks to Predict Truck’s Operating Speed

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Advanced Materials Research. 2013;694-697:2846-2849

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