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RISQualitative and Quantitative Evaluation of EEG Signals in Epileptic Seizure Recognition
A chaos-ANFIS approach is presented for analysis of EEG signals for epileptic seizure recognition. The non-linear dynamics of the original EEGs are quantified in the form of the hurst exponent (H) and largest lyapunov exponent (λ). The process...
Modeling and Forecasting Short-term Electricity Load based on Multi Adaptive Neural-Fuzzy Inference System by Using Temperature
predictability of electricity load curve by Lyapunov exponent,
this paper forecasts consumed load by using multi ANFIS.
Entries of the presented model are into the multi ANFIS
including the date of the day, temperature maximum and
minimum, climate...
Approximation of accessible diffeomorphisms by stable non uniformly hyperbolic systems
In this paper, we show that every accessible diffeomorphism can be approximated
by stable non uniformly hyperbolic diffeomorphisms. As a corollary we
show that every partial hyperbolic diffeomorphism can be ...
The Chaotic Behavior of EEG signals during Reiki
For the first time, we have measured EEG signals during Reiki. EEG signals of 30 persons during receiving Reiki in two groups of Reiki and Placebo were collected. Nonlinear features such as fractal dimension, Lyapunov exponent; approximate entropy...