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Original Articles

An artificial neural network noise reduction method for chaotic attractors

Pages 417-431 | Received 15 Jan 1999, Published online: 19 Mar 2007
 

Abstract

A method is presented to reduce noise in chaotic attractors without knowing the underlying maps. The method is based on using Artificial Neural Network (ANN) for moderate levels of additive noise. For high levels of additive noise, a combination of a refinement procedure with ANN is used. In this case, only one refinement is needed for the successful use of ANN. The obtained ANN model is used for long-term predictions of the future behavior of a Henon attractor, using information based only on past values.

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