Abstract
The notion of n-dimensional attributed parallel array grammars is introduced for describing neural networks. Because of the underlying grid structure, Kohonen’s model of feature maps is especially well suited for being represented by n-dimensional attributed parallel array grammars. Using our formal description model we prove that Kohonen’s global algorithm can be replaced by a local one.
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© 1991 Springer-Verlag Berlin Heidelberg
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Freund, R., Kirchmeyer, M., Tafill, F. (1991). Modelling Feature Maps by Attributed Parallel Array Grammars. In: Kaindl, H. (eds) 7. Österreichische Artificial-Intelligence-Tagung / Seventh Austrian Conference on Artificial Intelligence. Informatik-Fachberichte, vol 287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46752-3_10
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DOI: https://doi.org/10.1007/978-3-642-46752-3_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-54567-5
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