M. M. Artigao Castillo

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The False Nearest Neighbors (FNN) method is particularly relevant in several fields of science and engineering (medicine, economics, oceanography, biological systems, etc.). In some of these applications, it is important to give results within a reasonable time scale, so the execution time of the FNN method has to be reduced. This paper describes two(More)
—Nonlinear time series analysis is a powerful methodology that permits to predict the temporal evolution of some kinds of dynamical systems from characteristic quantities, such as the minimal embedding dimension or the maximal Lyapunov exponent. In fact, one of the most important goals of nonlinear analysis of experimental time series is the prediction. The(More)
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