2011 International Conference on Multimedia Computing and Systems 2011
DOI: 10.1109/icmcs.2011.5945666
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A color facial authentification system based on semi supervised backporpagation neural network

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Cited by 2 publications
(1 citation statement)
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“…It is composed of a large number of interconnected processing neurons. Back-propagation artificial neural network (BP-ANN) represents one of the most commonly used families of neural networks for pattern recognition due to its relative simplicity [19]. It based on gradient descent to update the weights in order to reduce the squared error between the output and target values of the network [20].…”
Section: Back-propagation Artificial Neural Networkmentioning
confidence: 99%
“…It is composed of a large number of interconnected processing neurons. Back-propagation artificial neural network (BP-ANN) represents one of the most commonly used families of neural networks for pattern recognition due to its relative simplicity [19]. It based on gradient descent to update the weights in order to reduce the squared error between the output and target values of the network [20].…”
Section: Back-propagation Artificial Neural Networkmentioning
confidence: 99%