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Tuning of fuzzy inference systems through unconstrained optimization techniques
(2003-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems. A novel approach, which uses unconstrained optimization techniques, is developed in order to adjust the free parameters of the fuzzy ...
Tuning of fuzzy inference systems through unconstrained optimization techniques
(2003-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems. A novel approach, which uses unconstrained optimization techniques, is developed in order to adjust the free parameters of the fuzzy ...
Correlation integral for stationary gaussian time series
(2023)
The correlation integral of a time series is a normalized coefficient that represents the number of close pairs of points of the series lying in phase space. It has been widely studied in a number of disciplines such as ...
Characterization of multiscroll attractors using Lyapunov exponents and Lagrangian coherent structures
(Amer Inst PhysicsMelvilleEUA, 2013)
Maximum approximate entropy and threshold: A new approach for regularity changes detection
(Elsevier, 2014-05)
Approximate entropy (ApEn) has been widely used as an estimator of regularity in many scientific fields. It has proved to be a useful tool because of its ability to distinguish different system’s dynamics when there is ...