TY  - JOUR 
AU  - Escot, Lorenzo
AU  - Sandubete, Julio E
PY  - 2022
UR  - http://hdl.handle.net/20.500.12020/1003
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...
LA  - en
PB  - ELSEVIER SCIENCE INC
TI  - Estimating Lyapunov exponents on a noisy environment by global and local Jacobian indirect algorithms
DO  - 10.1016/j.amc.2022.127498
T2  - Applied Mathematics and Computation
M2  - 1
KW  - Chaotic time series
KW  - Lyapunov exponents
KW  - Jacobian indirect methods
KW  - Global and local neural net models
KW  - Local polynomial kernel models
KW  - Local neural net kernel models
VL  - 436
ER  -