Automated learning of rules using genetic operators

authored by: C. E. Liedtke, Th H. Schnier, A. Bloemer
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.
Organisation(s): Institute of Information Processing
Type: Conference contribution
Pages: 327-334
No. of pages: 8
Publication date: 1993
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Theoretical Computer Science, General Computer Science
Electronic version(s): https://doi.org/10.1007/3-540-57233-3_44 (Access: Closed)

BibTeX

@inproceedings{f72479734b044b2d813c589d75cb3126,
title = "Automated learning of rules using genetic operators",
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.",
keywords = "Automated learning, CONNY, Expert systems, Explicit knowledge representation, Genetic operators, Image processing, Knowledge based systems, Rule based systems, System configuration",
author = "Liedtke, {C. E.} and Schnier, {Th H.} and A. Bloemer",
note = "Publisher Copyright: {\textcopyright} 1993, Springer Verlag. All rights reserved.; 5th International Conference on Computer Analysis of Images and Patterns, CAIP 1993 ; Conference date: 13-09-1993 Through 15-09-1993",
year = "1993",
doi = "10.1007/3-540-57233-3_44",
language = "English",
isbn = "9783540572336",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "327--334",
editor = "Dmitry Chetverikov and Kropatsch, {Walter G.}",
booktitle = "Computer Analysis of Images and Patterns - 5th International Conference, CAIP 1993, Proceedings",
}