Neuronale Netzwerke

dc.contributor.author	Rieger, Anke	de
dc.date.accessioned	2004-12-06T12:53:26Z
dc.date.available	2004-12-06T12:53:26Z
dc.date.created	1993	de
dc.date.issued	1999-08-12	de
dc.description.abstract	The report gives an introduction to neural networks. Starting with the basic terminology, different types of neural networks are described. Several applications of neural networks are shown, e.g. pattern recognition, content-adressable memory, and optimization problems. The major part of the report is focused on learning. Methods for learning from examples as well as methods for learning from observations are described. This report has been used as part of a script for a graduate student course in AI. It aims at teaching the basics of neural networks with the intention to make accessible the mathematical techniques used in this context. The paper is written in German.	en
dc.format.extent	1275721 bytes
dc.format.extent	201863 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.issn	0943-4135	de
dc.identifier.uri	http://hdl.handle.net/2003/2575
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-14886
dc.language.iso	de	de
dc.publisher	Universität Dortmund	de
dc.relation.ispartofseries	Forschungsberichte des Lehrstuhls VIII, Fachbereich Informatik der Universität Dortmund ; 2	de
dc.subject.ddc	004	de
dc.title	Neuronale Netzwerke	de
dc.type	Text	de
dc.type.publicationtype	report
dcterms.accessRights	open access

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