A Comparison of Genetic Programming and Neural Networks in Medical Data Analysis

dc.contributor.authorBanzhaf, Wolfgangde
dc.contributor.authorBrameier, Markusde
dc.date.accessioned2004-12-07T08:19:34Z
dc.date.available2004-12-07T08:19:34Z
dc.date.created1998de
dc.date.issued1998-11-08de
dc.description.abstractWe apply an interpreting variant of linear genetic programming to several diagnosis problems in medicine. We compare our results to results obtained with neural networks and argue that genetic programming is able to show similar performances in classification and generalization even when using a relatively small number of generations. Finally, an eficient algorithm for the elimination of introns in linear genetic programs is presented.en
dc.format.extent176818 bytes
dc.format.extent196553 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/5344
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-5014
dc.language.isoende
dc.publisherUniversität Dortmundde
dc.relation.ispartofseriesReihe Computational Intelligence ; 43de
dc.subject.ddc004de
dc.titleA Comparison of Genetic Programming and Neural Networks in Medical Data Analysisen
dc.typeTextde
dc.type.publicationtypereport
dcterms.accessRightsopen access

Files

Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
CI4398_doc.ps
Size:
191.95 KB
Format:
Postscript Files
Loading...
Thumbnail Image
Name:
ci4398_doc.pdf
Size:
172.67 KB
Format:
Adobe Portable Document Format
Description:
DNB