Principle of Neural Network and Its Main Types: Review - Université de Bretagne Occidentale
Article Dans Une Revue Journal of Advances in Applied & Computational Mathematics Année : 2020

Principle of Neural Network and Its Main Types: Review

Résumé

In this paper, an overview of the artificial neural networks is presented. Their main and popular types such as the multilayer feedforward neural network (MLFFNN), the recurrent neural network (RNN), and the radial basis function (RBF) are investigated. Furthermore, the main advantages and disadvantages of each type are included as well as the training process.
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hal-03114305 , version 1 (19-01-2021)

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Abdel-Nasser Sharkawy. Principle of Neural Network and Its Main Types: Review. Journal of Advances in Applied & Computational Mathematics, 2020, 7, pp.8-19. ⟨10.15377/2409-5761.2020.07.2⟩. ⟨hal-03114305⟩

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