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NEFCLASSmdash;a neuro-fuzzy approach for the classification of data

Authors:

Detlauf Nauck,

Rudolf KruseAuthors Info & Claims

SAC '95: Proceedings of the 1995 ACM symposium on Applied computing

Pages 461 - 465

https://doi.org/10.1145/315891.316068

Published: 26 February 1995 Publication History

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References

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Detlef Nauck. Building neural fuzzy controllers with NEFCON-I. In Rudolf Kruse, J~rg Gebhardt, and Rainer Palm, editors, Fuzzy Systems in Computer Science, Artificial Intelligence. Vieweg, Wiesbaden, 1994.

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Detlef Nauck. A fuzzy perceptron as a generic model for neuro--fuzzy approaches. In Proc. Fuzzy-Systeme'94, Munich, October 1994.

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Detlef N auck, Frank Klawonn, and Rudolf Kruse. Combining neural networks and fuzzy controllers. In Erich Peter Klement and Wolfgang Slany, editors, Fuzzy Logic in Artificial Intelligence (FLAI93), pages 35-46, Berlin, 1993. Springer-Verlag.

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Detlef Nauck and Rudolf Kruse. Interpreting changes in the fuzzy sets of a serf-adaptive neural fuzzy controller. In Proc. Second Int. Workshop on Industrial Applications of Fuzzy Control and Intelhgent Systems (iFIS'92), pages 146-152, College Station, Texas, December 1992.

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Detlef Nauck and Rudolf Kruse. A fuzzy neural network learning fuzzy control rules andmembership functions by fuzzy error backpropagation. In Proc. IEEE Int. Conf. on Neural Networks 1993, pages 1022-1027, San Francisco, March 1993.

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Detlef N~uck a~ad Rudoff Kruse. NEFCON-I: An X- Window based simulator for neural fuzzy controllers. In Proc. IEEE Int. ConL Neural Networks 1994 at IEEE WCCI'94, Orlando, June 1994.

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https://doi.org/10.1109/FUZZ52849.2023.10309777
Chetyrbok PKazak AGallini NRudenko MRudenko AAbramov D(2023)Neuromodeling in horticulture and viticultureE3S Web of Conferences10.1051/e3sconf/202342001007420(01007)Online publication date: 4-Sep-2023
https://doi.org/10.1051/e3sconf/202342001007
Ouifak HIdri A(2023)Application of neuro-fuzzy ensembles across domainsEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.106582124:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.engappai.2023.106582
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Index Terms

NEFCLASSmdash;a neuro-fuzzy approach for the classification of data
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic
  2. Machine learning
    1. Learning paradigms
      1. Supervised learning
        Supervised learning by classification
    2. Machine learning approaches
      1. Classification and regression trees
2. Mathematics of computing
  1. Discrete mathematics

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Information

Published In

SAC '95: Proceedings of the 1995 ACM symposium on Applied computing

February 1995

604 pages

ISBN:0897916581

DOI:10.1145/315891

Chairmen:
Jim Hightower
California State Univ.-Fullerton, Fullerton, CA
,
Ed Deaton
Hope College, Holland, MI
,
Editors:
K. M. George
Oklahoma State Univ., Stillwater, OK
,
Janice Carroll
Sam Houston State Univ., Huntsville, TX
,
Dave Oppenheim
ACM Local Activities Board

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 February 1995

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SAC95

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SAC95: 1995 Symposium on Applied Computing

February 26 - 28, 1995

Tennessee, Nashville, USA

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Ferranti LBoutellier J(2023)FuzzyLogic.jl: A Flexible Library for Efficient and Productive Fuzzy Inference2023 IEEE International Conference on Fuzzy Systems (FUZZ)10.1109/FUZZ52849.2023.10309777(1-5)Online publication date: 13-Aug-2023
https://doi.org/10.1109/FUZZ52849.2023.10309777
Chetyrbok PKazak AGallini NRudenko MRudenko AAbramov D(2023)Neuromodeling in horticulture and viticultureE3S Web of Conferences10.1051/e3sconf/202342001007420(01007)Online publication date: 4-Sep-2023
https://doi.org/10.1051/e3sconf/202342001007
Ouifak HIdri A(2023)Application of neuro-fuzzy ensembles across domainsEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.106582124:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.engappai.2023.106582
Ikidid AEl Ghazouani MEl Khanboubi YZaouiat CEl Fazziki ASadgal M(2023)A New Approach to Intelligent-Oriented Analysis and Design of Urban Traffic Control: Case of a Traffic LightInternational Conference on Advanced Intelligent Systems for Sustainable Development10.1007/978-3-031-26384-2_20(217-230)Online publication date: 10-Jun-2023
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Ouifak HIdri ABenbriqa HAbnane I(2022)Performance-Interpretability Tradeoff of Mamdani Neuro-Fuzzy Classifiers for Medical DataInformation Systems and Technologies10.1007/978-3-031-04826-5_46(456-465)Online publication date: 11-May-2022
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Wang MTai CZhang QYang ZLi JShen K(2021)Application of improved and optimized fuzzy neural network in classification evaluation of top coal cavabilityScientific Reports10.1038/s41598-021-98630-411:1Online publication date: 28-Sep-2021
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