Detecting chaos with local associative memories

  • Jiménez J
  • Moreno J
  • Ruggeri G
 et al. 
  • 4

    Readers

    Mendeley users who have this article in their library.
  • 3

    Citations

    Citations of this article.

Abstract

A technique to discriminate complex signals associated with deterministic chaos from those of random origin is presented. The method applies a new, computationally efficient, prediction procedure based on the associative memory concept. This procedure was used as a method to model non-linear series. Its performance was analyzed for several time series, including simulated numerical data from the logistic map and from the Mackey-Glass delay equation. Also experimental data from a dripping faucet in a chaotic regime and from low-temperature thermal fluctuations of the voltage across a resistor are considered. © 1992.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • J. Jiménez

  • J. Moreno

  • G. J. Ruggeri

  • A. Marcano

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free