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Refinado por: assunto: Earth Sciences remover
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A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer
A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer
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A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

Yoon, Heesung ; Jun, Seong-Chun ; Hyun, Yunjung ; Bae, Gwang-Ok ; Lee, Kang-Kun

Journal of hydrology (Amsterdam), 2011-01, Vol.396 (1), p.128-138 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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2
Seismic performance assessment of unsaturated soil slope in different groundwater levels
Seismic performance assessment of unsaturated soil slope in different groundwater levels
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Seismic performance assessment of unsaturated soil slope in different groundwater levels

Huang, Shuai ; Lyu, Yuejun ; Sha, Haijun ; Xiu, Liwei

Landslides, 2021-08, Vol.18 (8), p.2813-2833 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
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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4
Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions
Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions
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Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions

Choubin, Bahram ; Malekian, Arash

Environmental earth sciences, 2017-08, Vol.76 (15), p.1, Article 538 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Comparative Study of Artificial Neural Networks, Support Vector Machines and Adaptive Neuro Fuzzy Inference System for Forecasting Groundwater Levels near Lake Okeechobee, Florida
Comparative Study of Artificial Neural Networks, Support Vector Machines and Adaptive Neuro Fuzzy Inference System for Forecasting Groundwater Levels near Lake Okeechobee, Florida
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Comparative Study of Artificial Neural Networks, Support Vector Machines and Adaptive Neuro Fuzzy Inference System for Forecasting Groundwater Levels near Lake Okeechobee, Florida

Gong, Yicheng ; Zhang, Yongxiang ; Lan, Shuangshuang ; Wang, Huan

Water resources management, 2016-01, Vol.30 (1), p.375-391 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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6
Groundwater Level Simulation Using Soft Computing Methods with Emphasis on Major Meteorological Components
Groundwater Level Simulation Using Soft Computing Methods with Emphasis on Major Meteorological Components
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Groundwater Level Simulation Using Soft Computing Methods with Emphasis on Major Meteorological Components

Samani, Saeideh ; Vadiati, Meysam ; Azizi, Farahnaz ; Zamani, Efat ; Kisi, Ozgur

Water resources management, 2022-08, Vol.36 (10), p.3627-3647 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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7
Study on the dynamic characteristics of groundwater in the valley plain of Lhasa City
Study on the dynamic characteristics of groundwater in the valley plain of Lhasa City
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Study on the dynamic characteristics of groundwater in the valley plain of Lhasa City

Liu, Jiutan ; Gao, Zongjun ; Wang, Min ; Li, Yingzhi ; Ma, Yuanyuan ; Shi, Mengjie ; Zhang, Hongying

Environmental earth sciences, 2018-09, Vol.77 (18), p.1-15, Article 646 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Forecasting Groundwater Levels using a Hybrid of Support Vector Regression and Particle Swarm Optimization
Forecasting Groundwater Levels using a Hybrid of Support Vector Regression and Particle Swarm Optimization
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Forecasting Groundwater Levels using a Hybrid of Support Vector Regression and Particle Swarm Optimization

Mozaffari, Saeed ; Javadi, Saman ; Moghaddam, Hamid Kardan ; Randhir, Timothy O.

Water resources management, 2022-04, Vol.36 (6), p.1955-1972 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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9
A hybrid ensemble learning wavelet-GARCH-based artificial intelligence approach for streamflow and groundwater level forecasting at Silakhor plain, Iran
A hybrid ensemble learning wavelet-GARCH-based artificial intelligence approach for streamflow and groundwater level forecasting at Silakhor plain, Iran
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A hybrid ensemble learning wavelet-GARCH-based artificial intelligence approach for streamflow and groundwater level forecasting at Silakhor plain, Iran

Saadatmand, Ehsan ; Komasi, Mehdi

Environmental earth sciences, 2024-02, Vol.83 (3), p.109, Article 109 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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10
Characterizing coefficient of permeability based on response of groundwater level to river stage using regional database
Characterizing coefficient of permeability based on response of groundwater level to river stage using regional database
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Characterizing coefficient of permeability based on response of groundwater level to river stage using regional database

Kim, Bokyung ; Lee, Jiyeong ; Park, Keunbo ; Lee, Junhwan

Environmental earth sciences, 2024-02, Vol.83 (3), p.88, Article 88 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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