Abstract
In this paper, a new competition mechanism for neural fields is proposed, as well as first experimental studies of its robustness. The computational properties of this algorithm are discussed, arguing that such properties are suitable for neural architectures, where some restrictions of the usual neural fields competition methods are not acceptable.
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Frezza-Buet, H., Ménard, O. (2005). Making Competition in Neural Fields Suitable for Computational Architectures. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_35
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DOI: https://doi.org/10.1007/11550822_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28752-0
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