Hybrid Wavelet Neuro-Fuzzy Approach for Rainfall-Runoff ...
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This study explores the potential of hybrid Wavelet Co-Active Neuro Fuzzy Inference System (WCANFIS) models for simulating the transformation of rainfall-runoff ...
This study explores the potential of hybrid Wavelet Co-Active Neuro Fuzzy Inference System (WCANFIS) models for simulating the transformation of rainfall-runoff ...
This study explores the potential of hybrid Wavelet Co-Active Neuro Fuzzy Inference System (WCANFIS) models for simulating the transformation of rainfall-runoff ...
... Shoaib and Shamseldin [1] explored potential of WCANFIS hybrid model for simulating rainfall-runoff model alteration in Baihe watershed, China and examined ...
The potential of hybrid Wavelet Co-Active Neuro Fuzzy Inference System (WCANFIS) models for simulating the transformation of rainfall-runoff process in the ...
In this paper, the wavelet analysis was linked to the SVM model concept for modeling the rainfall-runoff process of Aghchai and Eel River watersheds. In this ...
Sep 2, 2022 · The main purpose of this study was to estimate runoff employing Adaptive Neuro-Fuzzy Inference System (ANFIS) and GA models using accessible, ...
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The results demonstrate that the hybrid models outperform the Fuzzy model in terms of predictive accuracy and precision. Notably, the MODWT-Fuzzy model ...
Oct 19, 2021 · ... modeling of monthly runoff with adaptive neural fuzzy inference system and wavelet analysis ... modelling with hybrid wavelet neuro-fuzzy model.
The study suggested that the proposed model can be an alternative approach for price forecasting. Komasi and Sharghi (2016) proposed a hybrid wavelet-support ...