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Application of Rainfall-Runoff Modeling With Neuro-Fuzzy

机译:神经模糊的降雨径流模型的应用

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摘要

The use of fuzzy approach is becoming increasingly common in the analysis of hydrology and water resources problems. In this research, a fuzzy inference system was developed and used to model the rainfall-runoff relationship on a semi-arid catchment, namely the Kurukavak catchment, which is a sub-basin of the Sakarya basin in Turkey. An adaptive neuro fuzzy inference system (ANFIS) was chosen for use in the current study. The results and comparative study indicate that the fuzzy method is more suitable to predict runoff than classical regression model.
机译:在分析水文和水资源问题时,模糊方法的使用变得越来越普遍。在这项研究中,开发了一个模糊推理系统,并将其用于模拟半干旱流域即库鲁卡瓦克流域(该流域是土耳其萨卡里亚盆地的一个子流域)上的降雨-径流关系。本研究选择了自适应神经模糊推理系统(ANFIS)。结果和比较研究表明,与经典回归模型相比,模糊方法更适合预测径流。

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