Using neural network based nonlinear IFS to model time sequences
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Abstract
A novel neural network based iterated function system (IFS) model is presented in this paper while the precondition to ensure the model is also explored. Applying it to some practical data, the given signal can be approximated exactly by the attractor generated by this model, which provides another way to resolve fractal inverse problem.
Key words
Fractal Fractal inverse problem IFS Neural network NonlinearPreview
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References
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