Research Communication | Open Access
Volume 2021 | Communication ID 44
Volume 2021 | Communication ID 44
| Hybridization of neural networks and genetic algorithms for better performance |
Maryem Hourri, Charaf Eddine Bailoul, Nour Eddine Alaa
Received |
Accepted |
Published |
January 23, 2021 |
February 15, 2021 |
March 15, 2021 |
Abstract: The application of deep learning for classification and prediction is already mentioned in several studies. However, the deficiencies of deep learning and neural networks reside in the ability to find the number of nodes adequate for each layer in order to have a high performance: a good classification or prediction. Our current study plans to implement a predictive model based on improved deep learning with a method of optimizing the various parameters with genetic algorithms for better prediction. Our article proposes a new hybrid neuronal genetic algorithm for prediction problems. ...