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Discussion of 'Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers'

机译:讨论“基于小波分析的神经模糊模型预测河流中的悬浮物浓度”

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摘要

In this discussion we focus on the recent paper by Mirbagheri et al. (2010), which reported the conjunctive use of wavelet analysis and neuro-fuzzy models for predicting suspended sediment concentration (SSC). Testing was applied to a small tropical catchment (47.4 km~2) situated on the western side of the island of Puerto Rico (Rio Rosario, near Hormigueros, Station ID 50136400). Figure 1 contrasts the location of the investigated site against that of two other study sites on this island that have been the subject of several recent data-driven modelling investigations (Rio Valenciano, near Juncos, Station ID 50056400; Quebrada Blanca at Jagual, Station ID 50051150).
机译:在讨论中,我们重点关注Mirbagheri等人的最新论文。 (2010年),该研究报告了小波分析和神经模糊模型在预测悬浮沉积物浓度(SSC)中的联合使用。测试是对位于波多黎各岛(Rio Rosario,Hormigueros附近,Rio Rosario,站号50136400)西侧的一个小型热带流域(47.4 km〜2)进行的。图1将被调查站点的位置与该岛上其他两个研究站点的位置进行了对比,这两个站点是最近一些数据驱动的建模研究的主题(Rio Valenciano,Juncos附近,站号50056400; Jagual的Quebrada Blanca,站号50051150)。

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  • 来源
    《Hydrological sciences journal 》 |2011年第7期| p.1325-1329| 共5页
  • 作者单位

    School of Geography, University of Nottingham, Nottingham NG7 2RD, UK;

    School of Geography, University of Nottingham, Nottingham NG7 2RD, UK;

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  • 正文语种 eng
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