Naili, RawnaqChettab, Rania2025-04-202025-04-202021http://dspace.univ-oeb.dz:4000/handle/123456789/21905in 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.enArtificial neural networks ; Temperature forecasting ; Time series ; MLP; CNN ; LSTM ; Time series forecastingArticle