Monthly rainfall forecast study in southeastern Brazil using multi-layer perceptron (MLP) neural networks
DOI:
https://doi.org/10.5902/2179460X45220Keywords:
Neural network, Time series, Monthly RainfallAbstract
This work uses the MLP neural network technique to make monthly rainfall forecast estimates for Guarulhos airport in southeastern Brazil using a time series of approximately 70 years. Neural network structures with two or more hidden layers showed a better result, minimizing the prediction error.
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