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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.
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https://hal.univ-brest.fr/hal-03114305
Contributor : Abdel-Nasser Sharkawy Connect in order to contact the contributor
Submitted on : Tuesday, January 19, 2021 - 12:15:44 PM
Last modification on : Sunday, January 24, 2021 - 12:02:02 PM
Long-term archiving on: : Tuesday, April 20, 2021 - 7:21:51 PM

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

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