Automated learning of rules using genetic operators

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • C. E. Liedtke
  • Th H. Schnier
  • A. Bloemer
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Details

OriginalspracheEnglisch
Titel des SammelwerksComputer Analysis of Images and Patterns - 5th International Conference, CAIP 1993, Proceedings
Herausgeber/-innenDmitry Chetverikov, Walter G. Kropatsch
Seiten327-334
Seitenumfang8
PublikationsstatusVeröffentlicht - 1993
Veranstaltung5th International Conference on Computer Analysis of Images and Patterns, CAIP 1993 - Budapest, Ungarn
Dauer: 13 Sept. 199315 Sept. 1993

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band719 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Abstract

The configuration system CONNY permits the automated configuration of image analysis processes which includes the selection of the appropriate sequence of operators and the adaptation of the free parameters. The system uses explicitly formulated knowledge contents from a human image analysis expert coded as rules of a rule based system. In the present contribution it has been investigated if and to which extent the rules can be learned automatically. The approach which has been chosen is based on the selection and valuation of individual rules and on the manipulation and generation of new rules by the use of genetic operators. The advantageous capabilities of a learning approach using genetic operators is demonstrated.

ASJC Scopus Sachgebiete

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Automated learning of rules using genetic operators. / Liedtke, C. E.; Schnier, Th H.; Bloemer, A.
Computer Analysis of Images and Patterns - 5th International Conference, CAIP 1993, Proceedings. Hrsg. / Dmitry Chetverikov; Walter G. Kropatsch. 1993. S. 327-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 719 LNCS).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Liedtke, CE, Schnier, TH & Bloemer, A 1993, Automated learning of rules using genetic operators. in D Chetverikov & WG Kropatsch (Hrsg.), Computer Analysis of Images and Patterns - 5th International Conference, CAIP 1993, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 719 LNCS, S. 327-334, 5th International Conference on Computer Analysis of Images and Patterns, CAIP 1993, Budapest, Ungarn, 13 Sept. 1993. https://doi.org/10.1007/3-540-57233-3_44
Liedtke, C. E., Schnier, T. H., & Bloemer, A. (1993). Automated learning of rules using genetic operators. In D. Chetverikov, & W. G. Kropatsch (Hrsg.), Computer Analysis of Images and Patterns - 5th International Conference, CAIP 1993, Proceedings (S. 327-334). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 719 LNCS). https://doi.org/10.1007/3-540-57233-3_44
Liedtke CE, Schnier TH, Bloemer A. Automated learning of rules using genetic operators. in Chetverikov D, Kropatsch WG, Hrsg., Computer Analysis of Images and Patterns - 5th International Conference, CAIP 1993, Proceedings. 1993. S. 327-334. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-57233-3_44
Liedtke, C. E. ; Schnier, Th H. ; Bloemer, A. / Automated learning of rules using genetic operators. Computer Analysis of Images and Patterns - 5th International Conference, CAIP 1993, Proceedings. Hrsg. / Dmitry Chetverikov ; Walter G. Kropatsch. 1993. S. 327-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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