TY  - JOUR
AU  - Escot Mangas, Lorenzo
AU  - Sandubete Galán, Julio Emilio
AU  - Simos, Theodore 
PY  - 2023
DO  - 10.1016/j.amc.2022.127498
SN  - 0096-3003
UR  - https://hdl.handle.net/20.500.14352/99625
T2  - Applied Mathematics and Computation
AB  - Most of the existing methods and techniques for the detection of chaotic behaviour from empirical time series try to quantify the well-known sensitivity to initial conditions through the estimation of the so-called Lyapunov exponents corresponding to...
LA  - eng
M2  - 1
PB  - Elsevier
KW  - Chaotic time series
KW  - Lyapunov exponents
KW  - Lyapunov exponents Jacobian indirect methods
KW  - Lyapunov exponents Global and local neural net models
KW  - Lyapunov exponents Local polynomial kernel models
KW  - Lyapunov exponent Local neural net kernel models
TI  - Estimating Lyapunov exponents on a noisy environment by global and local Jacobian indirect algorithms
TY  - journal article
VL  - 436
ER  -