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This paper proposes a new approach to the neural networks. This approach is based on the fractional-order concept and suggests a new formulation for the neural network in parameter identification problem. From this, continues Hopfield net is chosen and extended to the fractional net in which fractional-order equations describe its dynamical structure. As Hopfield networks have no determined learning...
In ANN terminology, the synaptic connections are the weights of the neural networks and can be seen as an interaction between neurons. In this paper, we consider two simple neurons which have both self-coupling and non-invertible activation functions. Our studies on these interactions lead to different dynamical behaviors of the network. We show that they can be used as a means of chaos generation...
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