Abstract
Biological central nervous systems with their massive parallel structures and recurrent projections show fractal characteristics in structural and functional parameters (Babloyantz and Lourenno 1994). Julia sets and the Mandelbrot set are the well known classical fractals with all their harmony, deterministic chaos and beauty, generated by iterated non - linear functions. The according algorithms may be transposed, based on their geometrical interpretation, directly into the massive parallel structure of neural networks working on recurrent projections. Structural organization and functional properties of those networks, their ability to process data and correspondences to biological neural networks will be discussed.
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Kromer, T. (1999). Spatial Neural Networks Based on Fractal Algorithms Biomorph Nets of Nets of.... In: Reusch, B. (eds) Computational Intelligence. Fuzzy Days 1999. Lecture Notes in Computer Science, vol 1625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48774-3_65
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DOI: https://doi.org/10.1007/3-540-48774-3_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66050-7
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