*Advances in Dynamical Systems Theory, Models, Algorithms and Applications*

permutation entropy method to unravel the complexity of various physical systems e.g., nonlinear forced pendulum, child's swing problem, prey-predator system, periodically stimulated FHN neuron model and nonlinear financial model. Important characterization of transition from regular to chaotic dynamics have been made using the foregoing methods. Finally artificial neural network based on multi-layer perceptron network have been shown to satisfactorily generate the time series of dynamical variable of chaotic system such as Lorenz system.

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