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Discrete Dynamics in Nature and Society - Volume 6 2001, Issue 3, Pages 147-156



Laboratory of Computing Techniques and Automation, Joint Institute for Nuclear Research, Dubna 141980, Russia

lnternational Solvay Institute for Physics and Chemistry, CP-231, ULB, Campus Plaine, Bd. du Triomphe, Brussels 1050, Belgium

Theoretische Natuurkunde, Free University of Brussels, Brussels, Belgium

Received 22 September 2000

Copyright © 2001 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We investigate the ability of artificial neural networks to reconstruct discrete chaotic maps with singular points. We use as a simple test model the Cusp map. We compare the traditional Multilayer Perceptron, the Chebyshev Neural Network and the Wavelet Neural Network. The numerical scheme for the accurate determination of a singular point is also developed. We show that combining a neural network with the numerical algorithm for the determination of the singular point we are able to accurately approximate discrete chaotic maps with singularities.





Author: P. G. Akishin, P. Akritas, I. Antoniou, and V. V. Ivanov

Source: https://www.hindawi.com/



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