Add to ORKGBack Propagation (BP) was introduced by Rumelhart in 1986 [1]. BP is used for learning algorithm of MLP and the error propagates backwards in the network. MLP using BP al-gorithm is well known to perform for the pattern classificatio
Neural networks as a general mechanism for learning and adaptation became increasingly popular in re...
Abstract — Some methods using artificial neural network were proposed for solving to the Two-Spiral ...
In studies of neural networks, the Multilavered Feedforward Network is the most widely used network ...
Back Propagation (BP) was introduced by Rumelhart in 1986 [1]. BP is used for learning of Multi-Laye...
A multilayer perceptron is a feed forward artificial neural network model that maps sets of input da...
We proposed chaos glial network connected to Multi-Layer Perceptron (MLP). The glial network is insp...
Multilayer perceptrons (MLPs) (1) are the most common artificial neural networks employed in a large...
Multilayer perceptrons (MLPs) (1) are the most common artificial neural networks employed in a large...
Abstract — A glia is the most number of nervous cells in a brain. The glia is investigated in a medi...
A adaptive back-propagation algorithm for multilayered feedforward perceptrons was discussed. It was...
Abstract — Cell assembly is one of explanations of information processing in the brain, in which an ...
In this study, an error black propagation scheme with periodic chaos neuron model is proposed using ...
Pattern recognition is one of the most difficult problems and somehow impossible to be solved by con...
Neural Network is a computational paradigm that comprises several disciplines such as mathematics, ...
Abstract — A glia is nervous cell which exists in a brain. The glia can transmit signal to other gli...
Neural networks as a general mechanism for learning and adaptation became increasingly popular in re...
Abstract — Some methods using artificial neural network were proposed for solving to the Two-Spiral ...
In studies of neural networks, the Multilavered Feedforward Network is the most widely used network ...
Back Propagation (BP) was introduced by Rumelhart in 1986 [1]. BP is used for learning of Multi-Laye...
A multilayer perceptron is a feed forward artificial neural network model that maps sets of input da...
We proposed chaos glial network connected to Multi-Layer Perceptron (MLP). The glial network is insp...
Multilayer perceptrons (MLPs) (1) are the most common artificial neural networks employed in a large...
Multilayer perceptrons (MLPs) (1) are the most common artificial neural networks employed in a large...
Abstract — A glia is the most number of nervous cells in a brain. The glia is investigated in a medi...
A adaptive back-propagation algorithm for multilayered feedforward perceptrons was discussed. It was...
Abstract — Cell assembly is one of explanations of information processing in the brain, in which an ...
In this study, an error black propagation scheme with periodic chaos neuron model is proposed using ...
Pattern recognition is one of the most difficult problems and somehow impossible to be solved by con...
Neural Network is a computational paradigm that comprises several disciplines such as mathematics, ...
Abstract — A glia is nervous cell which exists in a brain. The glia can transmit signal to other gli...
Neural networks as a general mechanism for learning and adaptation became increasingly popular in re...
Abstract — Some methods using artificial neural network were proposed for solving to the Two-Spiral ...
In studies of neural networks, the Multilavered Feedforward Network is the most widely used network ...