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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.
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Dates and versions

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

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Attribution - NonCommercial

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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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