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Principle of Neural Network and Its Main Types: Review

Abdel‐Nasser Sharkawy

2020Journal of Advances in Applied & Computational Mathematics170 citationsDOIOpen Access PDF

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.

Topics & Concepts

Artificial neural networkFeedforward neural networkRecurrent neural networkComputer scienceTime delay neural networkProbabilistic neural networkArtificial intelligenceRadial basis functionTypes of artificial neural networksNervous system network modelsPhysical neural networkStochastic neural networkFeed forwardProcess (computing)EngineeringControl engineeringOperating systemNeural Networks and ApplicationsAdvanced Algorithms and ApplicationsAdvanced Computational Techniques and Applications
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