Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiers

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Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiers

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Symposium on Applied Computing archive
Proceedings of the 1995 ACM symposium on Applied computing table of contents

Nashville, Tennessee, United States

Pages: 580 - 585

Year of Publication: 1995

ISBN:0-89791-658-1

Authors

Saman K. Halgamuge	Darmstadt University of Technology, Institute of Microelectronic Systems, Germany
Alain Brichard	Darmstadt University of Technology, Institute of Microelectronic Systems, Germany
Manfred Glesner	Darmstadt University of Technology, Institute of Microelectronic Systems, Germany

Sponsors

SIGBIO: ACM Special Interest Group on Biomedical Computing
SIGADA: ACM Special Interest Group on Ada Programming Language
SIGCUE: ACM Special Interest Group on Computer Uses In Education
SIGICE: ACM Special Interest Group on Individual Computing Environment
SIGAPP: ACM Special Interest Group on Applied Computing
SIGPLAN: ACM Special Interest Group on Programming Languages

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ACM New York, NY, USA

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	HGG95	Saman Halgamuge , Christoph Grimm , Manfred Glesner, A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems, Proceedings of the 1995 ACM symposium on Applied computing, p.445-449, February 26-28, 1995, Nashville, Tennessee, United States [doi>10.1145/315891.316065]
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	HPG95	S. K. Halgamuge, W. P6chmueller, and M. Glesner. An Alternative Approach for Generation of Membership Functions and Fuzzy Rules Based on Radial and Cubic Basis Function Networks. In. ternational Journal of Approximate Reasoning (in press), 1995.
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