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A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems

Authors:

Saman Halgamuge,

Christoph Grimm,

Manfred GlesnerAuthors Info & Claims

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

Pages 445 - 449

https://doi.org/10.1145/315891.316065

Published: 26 February 1995 Publication History

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Cited By

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Piramuthu S(1999)Financial credit-risk evaluation with neural and neurofuzzy systemsEuropean Journal of Operational Research10.1016/S0377-2217(97)00398-6112:2(310-321)Online publication date: Jan-1999
https://doi.org/10.1016/S0377-2217(97)00398-6
Halgamuge SBrichard AGlesner MHightower JDeaton E(1995)Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiersProceedings of the 1995 ACM symposium on Applied computing10.1145/315891.316107(580-585)Online publication date: 26-Feb-1995
https://dl.acm.org/doi/10.1145/315891.316107

Index Terms

A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics
2. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic
  2. Machine learning
    1. Machine learning approaches
      1. Neural networks
      2. Rule learning

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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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Published: 26 February 1995

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SAC95: 1995 Symposium on Applied Computing

February 26 - 28, 1995

Tennessee, Nashville, USA

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Piramuthu S(1999)Financial credit-risk evaluation with neural and neurofuzzy systemsEuropean Journal of Operational Research10.1016/S0377-2217(97)00398-6112:2(310-321)Online publication date: Jan-1999
https://doi.org/10.1016/S0377-2217(97)00398-6
Halgamuge SBrichard AGlesner MHightower JDeaton E(1995)Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiersProceedings of the 1995 ACM symposium on Applied computing10.1145/315891.316107(580-585)Online publication date: 26-Feb-1995
https://dl.acm.org/doi/10.1145/315891.316107

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An algorithm for automatic generation of fuzzy neural network based on perception frames

An approach for generation of perception frames based fuzzy neural network from data

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An algorithm for automatic generation of fuzzy neural network based on perception frames

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