| Fuzzy neural fusion techniques for industrial applications |
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Symposium on Applied Computing
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Proceedings of the 1994 ACM symposium on Applied computing
table of contents
Phoenix, Arizona, United States
Pages: 136 - 141
Year of Publication: 1994
ISBN:0-89791-647-6
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Authors
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S. K. Halgamuge
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Darmstadt University of Technology, Institute of Microelectronic Systems, Germany
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M. Glesner
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Darmstadt University of Technology, Institute of Microelectronic Systems, Germany
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Downloads (6 Weeks): 4, Downloads (12 Months): 25, Citation Count: 0
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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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M.M. Gupta and J. Qi. On Fuzzy Neuron Models. In International Joint Conference an Neural Networks, Seattle, July 1991.
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S.K. ttalgamuge and M. Glesner. A Fuzzy- Neural Approach for Pattern Classification with the Generation of Rules based on Supervised Learning. In Neuro. Nimes 92, Nimes, France, November 1992.
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S.K. Halgamuge and M. Glesner. The Fuzzy Neural Controller FuNe II with a New Adaptive Defuzzification Strategy Based on CBAD Distributions. In European Congress on Fuzzy and Intelligent Technolocdies'93, Aachen, Germany, September 1993.
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S.K. Halgamuge, H.-J. Herpel, and M. Glesner. An Automotive Application With Neural Network Based Knowledge Extraction. In Mecha. tronical Computer Systems for Perception and Action' 93, Halmstad, Sweden, June 1993.
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INDEX TERMS
Primary Classification:
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.3
Deduction and Theorem Proving
Subjects:
Uncertainty, "fuzzy," and probabilistic reasoning
Additional Classification:
G.
Mathematics of Computing
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.6
Learning
Subjects:
Connectionism and neural nets
I.2.8
Problem Solving, Control Methods, and Search
Subjects:
Control theory
I.5
PATTERN RECOGNITION
I.5.2
Design Methodology
Subjects:
Classifier design and evaluation
J.
Computer Applications
J.2
PHYSICAL SCIENCES AND ENGINEERING
Subjects:
Engineering
General Terms:
Design,
Measurement,
Performance,
Reliability,
Theory
Keywords:
Iris classification,
backpropagation,
cascade systems,
fuzzy step net,
fuzzy-neural,
rule generation
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