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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Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model treeKisi, OzgurJournal of hydrology (Amsterdam), 2015-09, Vol.528, p.312-320 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |
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2 |
Material Type: Artigo
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A wavelet-support vector machine conjunction model for monthly streamflow forecastingKisi, Ozgur ; Cimen, MesutJournal of hydrology (Amsterdam), 2011-03, Vol.399 (1), p.132-140 [Periódico revisado por pares]Kidlington: Elsevier B.VTexto completo disponível |
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3 |
Material Type: Artigo
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Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GISTehrany, Mahyat Shafapour ; Pradhan, Biswajeet ; Jebur, Mustafa NeamahJournal of hydrology (Amsterdam), 2014-05, Vol.512, p.332-343 [Periódico revisado por pares]Kidlington: Elsevier B.VTexto completo disponível |
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4 |
Material Type: Artigo
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A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain regionHe, Zhibin ; Wen, Xiaohu ; Liu, Hu ; Du, JunJournal of hydrology (Amsterdam), 2014-02, Vol.509, p.379-386 [Periódico revisado por pares]Kidlington: Elsevier B.VTexto completo disponível |
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5 |
Material Type: Artigo
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Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollutionKisi, Ozgur ; Parmar, Kulwinder SinghJournal of hydrology (Amsterdam), 2016-03, Vol.534, p.104-112 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |
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6 |
Material Type: Artigo
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Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)Panahi, Mahdi ; Sadhasivam, Nitheshnirmal ; Pourghasemi, Hamid Reza ; Rezaie, Fatemeh ; Lee, SaroJournal of hydrology (Amsterdam), 2020-09, Vol.588, p.125033, Article 125033 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |
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7 |
Material Type: Artigo
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Modelling daily dissolved oxygen concentration using least square support vector machine, multivariate adaptive regression splines and M5 model treeHeddam, Salim ; Kisi, OzgurJournal of hydrology (Amsterdam), 2018-04, Vol.559, p.499-509 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |
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8 |
Material Type: Artigo
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A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquiferYoon, Heesung ; Jun, Seong-Chun ; Hyun, Yunjung ; Bae, Gwang-Ok ; Lee, Kang-KunJournal of hydrology (Amsterdam), 2011-01, Vol.396 (1), p.128-138 [Periódico revisado por pares]Kidlington: Elsevier B.VTexto completo disponível |
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9 |
Material Type: Artigo
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A multi-scale relevance vector regression approach for daily urban water demand forecastingBai, Yun ; Wang, Pu ; Li, Chuan ; Xie, Jingjing ; Wang, YinJournal of hydrology (Amsterdam), 2014-09, Vol.517, p.236-245 [Periódico revisado por pares]Kidlington: Elsevier B.VTexto completo disponível |
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10 |
Material Type: Artigo
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Monthly streamflow prediction using modified EMD-based support vector machineHuang, Shengzhi ; Chang, Jianxia ; Huang, Qiang ; Chen, YutongJournal of hydrology (Amsterdam), 2014-04, Vol.511, p.764-775 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |