André Alves Portela Santos

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Artificial neural networks and fuzzy systems, have gradually established themselves as a popular tool in approximating complicated nonlinear systems and time series forecasting. This paper investigates the hypothesis that the nonlinear mathematical models of multi-layer perceptron and radial basis function neural networks and the Takagi–Sugeno (TS) fuzzy(More)
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