Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Banzhaf, Wolfgang | de |
dc.contributor.author | Brameier, Markus | de |
dc.date.accessioned | 2004-12-07T08:19:34Z | - |
dc.date.available | 2004-12-07T08:19:34Z | - |
dc.date.created | 1998 | de |
dc.date.issued | 1998-11-08 | de |
dc.identifier.uri | http://hdl.handle.net/2003/5344 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-5014 | - |
dc.description.abstract | We 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.extent | 176818 bytes | - |
dc.format.extent | 196553 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/postscript | - |
dc.language.iso | en | de |
dc.publisher | Universität Dortmund | de |
dc.relation.ispartofseries | Reihe Computational Intelligence ; 43 | de |
dc.subject.ddc | 004 | de |
dc.title | A Comparison of Genetic Programming and Neural Networks in Medical Data Analysis | en |
dc.type | Text | de |
dc.type.publicationtype | report | - |
dcterms.accessRights | open access | - |
Appears in Collections: | Sonderforschungsbereich (SFB) 531 |
Files in This Item:
File | Description | Size | Format | |
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CI4398_doc.ps | 191.95 kB | Postscript | View/Open | |
ci4398_doc.pdf | DNB | 172.67 kB | Adobe PDF | View/Open |
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This item is protected by original copyright
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