Principle of Neural Network and Its Main Types: Review - Université de Bretagne Occidentale
Journal Articles Journal of Advances in Applied & Computational Mathematics Year : 2020

Principle of Neural Network and Its Main Types: Review

Abstract

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.
Fichier principal
Vignette du fichier
JAACMV7A2-Sharkawy (1).pdf (680.07 Ko) Télécharger le fichier
Origin Publication funded by an institution

Dates and versions

hal-03114305 , version 1 (19-01-2021)

Licence

Identifiers

Cite

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⟩

Collections

UNIV-BREST
572 View
1009 Download

Altmetric

Share

More