Principle of neural network and its main types
AN Sharkawy - Journal of Advances in Applied & …, 2020 - avantipublisher.com
Journal of Advances in Applied & Computational Mathematics, 2020•avantipublisher.com
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.
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.
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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