Add to ORKGSIGLEAvailable from British Library Document Supply Centre-DSC:3597.442(02/434) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
This M-file calculates Lyapunov exponents with minimum RMSE neural network. After estimation of netw...
16th UKSim-AMSS International Conference on Computer Modelling and Simulation (UKSim) -- MAR 26-28, ...
The master's thesis deals mainly with continuous nonlinear dynamical systems that exhibit chaotic be...
This paper derives the asymptotic distribution of nonparametric neural network estimator of the Lyap...
The main advantage of detecting chaos is that the time series is short term predictable. The predict...
© 2020 The Author(s). Published by IOP Publishing Ltd. We train an artificial neural network which d...
The aim of this paper is to illustrate how the stability of a stochastic dynamic system is measured ...
In this paper we present the general problem of identifying if a nonlinear dynamic system has a chao...
Lyapunov exponents of a dynamical system give information about its long-term evolution. Exponents e...
Centro de Informacion y Documentacion Cientifica (CINDOC). C/Joaquin Costa, 22. 28002 Madrid. SPAIN ...
The aim of the paper was to analyze the given nonlinear problem by different methods of computation ...
The aim of this paper is to illustrate how the stability of a stochastic dynamic system is measured ...
Most of the existing methods and techniques for the detection of chaotic behaviour from empirical t...
SIGLEAvailable from British Library Document Supply Centre- DSC:D98307 / BLDSC - British Library Doc...
Modeling of chaotic systems, based on the output time series, is quite promising since the output of...
This M-file calculates Lyapunov exponents with minimum RMSE neural network. After estimation of netw...
16th UKSim-AMSS International Conference on Computer Modelling and Simulation (UKSim) -- MAR 26-28, ...
The master's thesis deals mainly with continuous nonlinear dynamical systems that exhibit chaotic be...
This paper derives the asymptotic distribution of nonparametric neural network estimator of the Lyap...
The main advantage of detecting chaos is that the time series is short term predictable. The predict...
© 2020 The Author(s). Published by IOP Publishing Ltd. We train an artificial neural network which d...
The aim of this paper is to illustrate how the stability of a stochastic dynamic system is measured ...
In this paper we present the general problem of identifying if a nonlinear dynamic system has a chao...
Lyapunov exponents of a dynamical system give information about its long-term evolution. Exponents e...
Centro de Informacion y Documentacion Cientifica (CINDOC). C/Joaquin Costa, 22. 28002 Madrid. SPAIN ...
The aim of the paper was to analyze the given nonlinear problem by different methods of computation ...
The aim of this paper is to illustrate how the stability of a stochastic dynamic system is measured ...
Most of the existing methods and techniques for the detection of chaotic behaviour from empirical t...
SIGLEAvailable from British Library Document Supply Centre- DSC:D98307 / BLDSC - British Library Doc...
Modeling of chaotic systems, based on the output time series, is quite promising since the output of...
This M-file calculates Lyapunov exponents with minimum RMSE neural network. After estimation of netw...
16th UKSim-AMSS International Conference on Computer Modelling and Simulation (UKSim) -- MAR 26-28, ...
The master's thesis deals mainly with continuous nonlinear dynamical systems that exhibit chaotic be...