Observing the Existence of Low-Frequency Variability in Monthly Rainfall Data at Southeastern Brazil using R Package Tools – Neural Networks and Wavelet
Abstract:ABSTRACT. This study aimed to analyze 70 years historical series in the Brazilian Southeastern region, using monthly rainfall data. Statistical modeling techniques such as cross-wavelet spectra and artificial neural networks (ANN), from the R statistical package, were used to perform the analyses. Two different types of neural networks were employed: the multi-layer perceptron (MLP) and extreme learning machine (ELM). From the cited time series, the analysis shows the existence of a decadal and multi-decadal s… Show more
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