CMU Artificial Intelligence Repository
FuNeGen: Fuzzy neural system
areas/fuzzy/systems/funegen/
FuNeGen is a fuzzy neural system capable of generating fuzzy
classification systems (as C-code) from sample data. This directory
contains a demonstration version of FuNeGen.
Origin:
obelix.microelectronic.e-technik.th-darmstadt.de:/pub/neurofuzzy/
Version: 1.0 (5-JUL-94)
Requires: IBM PC (286 or higher)
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Contact: Saman K. Halgamuge
Darmstadt University of Technology
Institute of Microelectronic Systems
Karlstr. 15
D-64283 Darmstadt
Germany
Tel: ++49 6151 16-5136
Fax: ++49 6151 16-4936
Email:
Keywords:
Authors!Halgamuge, FuNeGen, Fuzzy Logic, Neural Networks
References:
[1] E. Anderson, "The Irises of the Gaspe Peninsula", Bull.~Amer.~Iris
Soc. 59, 1935.
[2] S. K. Halgamuge and M. Glesner, "A Fuzzy-Neural Approach for
Pattern Classification with the Generation of Rules based on
Supervised Learning", Neuro-Nimes 92, Nimes, France, November 1992.
[3] S. K. Halgamuge and M. Glesner, "Neural Networks in Designing
Fuzzy Systems for Real World Applications", International Journal for
Fuzzy Sets and Systems, H.-J. Zimmermann, editor, North Holland, 1994.
[4] S. K. Halgamuge, W. Poechmueller, and M. Glesner, "A Rule based
Prototype System for Automatic Classification in Industrial Quality
Control", IEEE International Conference on Neural Networks 93, San
Francisco, USA, March 1993.
[5] S. K. Halgamuge, H.-J. Herpel, and M. Glesner, "An Automotive
Application With Neural Network Based Knowledge Extraction",
Mechatronical Computer Systems for Perception and Action 93, Halmstad,
Sweden, June 1993.
[6] S. K. Halgamuge and M. Glesner, "The Fuzzy Neural Controller FuNe
II with a New Adaptive Defuzzification Strategy Based on CBAD
Distributions", European Congress on Fuzzy and Intelligent
Technologies 93, Aachen, Germany, September 1993.
[7] S. K. Halgamuge, W. Poechmueller, A. Pfeffermann, P.
Schweikert, and M. Glesner, "A New Method for Generating Fuzzy
Classification Systems Using RBF Neurons with Extended RCE Learning",
IEEE International Conference on Neural Networks 94, Orlando, USA,
June 1994.
[8] S. K. Halgamuge, T. Wagner, and M. Glesner, "Validation and
Application of an adaptive transparent Defuzzification Strategy for
Fuzzy Control", IEEE International Conference on Fuzzy Systems 94,
Orlando, USA, June 1994.
[9] S. K. Halgamuge, "Advanced Methods for Fusion of Fuzzy Systems and
Neural Networks in Intelligent Data Processing", PhD thesis, Darmstadt
University of Technology, Department of Computer Engineering, 1994.
[10] S. K. Halgamuge, W. Poechmueller, and M. Glesner, "An
Alternative Approach for Generation of Membership Functions and Fuzzy
Rules Based on Radial and Cubic Basis Function Networks", Technical
Report, Darmstadt University of Technology, Department of Computer
Engineering, Institute of Microelectronic Systems, 1994.
Last Web update on Mon Feb 13 10:22:17 1995
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