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NeuroCOLT
Technical Report NC-TR-96-017
Die Komplexität
des Rechnens und Lernens mit neuronalen Netzen -- Ein Kurzführer
Michael
Schmitt
Institute for Theoretical Computer Science
Technische Universitaet Graz
Austria
Abstract
This is a very short guide to the basic concepts of the theory of
computing and learning with neural networks with emphasis on computational
complexity. Fundamental results on circuit complexity of neural networks
and PAC-learning are mentioned but no proofs are given. A list
of references to the most important and most recent books in the field
is included. The report was written in German on the occasion of giving
a course at the Autumn School in Connectionism and Neural Networks
``HeKoNN 95'' in Münster.
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Postscript
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