Browsing by Author "Chettab, Rania"

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    Temperature forecasting via neural networks based on time-series data
    (University of Oum El Bouaghi, 2021) Naili, Rawnaq; Chettab, Rania
    in this paper, we presentdeep neural network architectures and use themintime series weather forecasting. We started with a MLP (Multi- Layer Perceptron) architecture, then we used CNN (Convolutional Neural Network) architecture, and moving on to LSTM (Long-Short Term Memory), to finally making a hybrid architecture of CNN and LSTM. Eight years (2009-2016) of hourly meteorological data were used to train each model and the results show that neural network could be a good way to predict future temperatures.