Temperature forecasting via neural networks based on time-series data
| dc.contributor.author | Naili, Rawnaq | |
| dc.contributor.author | Chettab, Rania | |
| dc.date.accessioned | 2025-04-20T16:08:41Z | |
| dc.date.available | 2025-04-20T16:08:41Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | 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. | |
| dc.identifier.uri | http://dspace.univ-oeb.dz:4000/handle/123456789/21905 | |
| dc.language.iso | en | |
| dc.publisher | University of Oum El Bouaghi | |
| dc.subject | Artificial neural networks ; Temperature forecasting ; Time series ; MLP; CNN ; LSTM ; Time series forecasting | |
| dc.title | Temperature forecasting via neural networks based on time-series data | |
| dc.type | Article |