Wavelet and neuro-fuzzy conjunction model for predicting water table depth fluctuations

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Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review (2014, methodology): “Investigating the ability of a joint wavelet and NF model to perform one-, two- and three-day-ahead groundwater depth forecasting, Kisi and Shiri (2012) found that the joint model outperformed the NF model, particularly for two- and three-day-ahead forecasts.”