In this paper prediction of dynamics of chaotic Chua's circuit is made using artificial neural networks (ANN). The required data set to train and test the ANN were obtained with numerical analyzes of state equations of Chua's circuit. It is obviously seen that the predicted dynamics at the out of the ANN are similar with circuit dynamics. Without any necessity to system parameters and initial states which are required for Chua's circuit that presents chaotic behavior, an ANN based chaotic signal generator can be designed using this paper
A neural network is a model of the brain’s cognitive process, with a highly interconnected multiproc...
Summarization: The classical Chua’s circuit that realizes chaotic behavior is presented. This circui...
There are two main subjects covered in this work. The first one is analysis chaotic time series by m...
Chaotic systems are sensitive to initial conditions, system parameters and topological transitivity ...
This study aims to design a new architecture of the artificial neural networks (ANNs) using the Xili...
Nonlinear Dynamical systems are common in many scientific disciplines. A particularly interesting pr...
The Chua circuit is among the simplest non-linear circuits that shows most complex dynamical behavio...
This study aims to design a new architecture of the artificial neural networks (ANNs) using the Xili...
Many practical applications of neural networks require the identification of nonlinear deterministic...
A CNN based circuit for chaotic signal applications in communication systems is proposed. An hyperch...
Chaotic behavior is a natural phenomenon that can be found all around us in our daily lives. This pr...
A unique technique based on chaos theory and artificial neural networks (ANN) is developed to analys...
In this paper a traditional Multi Layer Perceptron with a tapped delay line as input is trained to i...
Many practical applications of neural networks require the identification of strongly non-linear (e....
An algorithm is introduced that trains a neural network to identify chaotic dynamics from a single m...
A neural network is a model of the brain’s cognitive process, with a highly interconnected multiproc...
Summarization: The classical Chua’s circuit that realizes chaotic behavior is presented. This circui...
There are two main subjects covered in this work. The first one is analysis chaotic time series by m...
Chaotic systems are sensitive to initial conditions, system parameters and topological transitivity ...
This study aims to design a new architecture of the artificial neural networks (ANNs) using the Xili...
Nonlinear Dynamical systems are common in many scientific disciplines. A particularly interesting pr...
The Chua circuit is among the simplest non-linear circuits that shows most complex dynamical behavio...
This study aims to design a new architecture of the artificial neural networks (ANNs) using the Xili...
Many practical applications of neural networks require the identification of nonlinear deterministic...
A CNN based circuit for chaotic signal applications in communication systems is proposed. An hyperch...
Chaotic behavior is a natural phenomenon that can be found all around us in our daily lives. This pr...
A unique technique based on chaos theory and artificial neural networks (ANN) is developed to analys...
In this paper a traditional Multi Layer Perceptron with a tapped delay line as input is trained to i...
Many practical applications of neural networks require the identification of strongly non-linear (e....
An algorithm is introduced that trains a neural network to identify chaotic dynamics from a single m...
A neural network is a model of the brain’s cognitive process, with a highly interconnected multiproc...
Summarization: The classical Chua’s circuit that realizes chaotic behavior is presented. This circui...
There are two main subjects covered in this work. The first one is analysis chaotic time series by m...