Modeling Chaotic Systems by Cellular Neural Networks
نویسندگان
چکیده
For modeling nonlinear systems we present a new type of Cellular Neural Networks (CNN) with nonlinear weight and output functions defined by tabulated functions. Training algorithms are used to adjust the behaviour of CNN solutions to those of a system represented only by it ́s output values. A few output values of the system reveal to be sufficient to determine the parameters of the CNN. The procedure is demonstrated for the example of the Chua Circuit.
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