COMPUTING OF LYAPUNOV EXPONENTS TECHNIQUES USING NEURAL NETWORKS

Authors

  • Vladimir Golovko
  • Yury Savitsky

DOI:

https://doi.org/10.47839/ijc.3.1.258

Keywords:

Lyapunov spectrum, Multilayer Neural Networks, Chaotic processes, Dynamical system

Abstract

The authors examine neural network techniques for computing of Lyapunov spectrum using observations from unknown dynamical system. Such an approach is based on applying of multilayer perceptron (MLP) for forecasting the next state of dynamical system from the previous one. It allows for evaluating the Lyapunov spectrum of unknown dynamical system accurately and efficiently only by using scalar time series. The results of experiments are discussed.

References

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Published

2014-08-01

How to Cite

Golovko, V., & Savitsky, Y. (2014). COMPUTING OF LYAPUNOV EXPONENTS TECHNIQUES USING NEURAL NETWORKS. International Journal of Computing, 3(1), 93-98. https://doi.org/10.47839/ijc.3.1.258

Issue

2004, Volume 3, Issue 1

Section

Articles

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