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» A KFCM-Based Fuzzy Classifier
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KES
2000
Springer
13 years 11 months ago
Effects of antecedent pruning in fuzzy classification systems
Fuzzy classification rules are widely considered a well-suited representation of classification knowledge, as they allow readable and interpretable rule bases. The goal of this pa...
Andreas Nürnberger, Aljoscha Klose, Rudolf Kr...
ICPR
2008
IEEE
14 years 1 months ago
A fuzzy c-means algorithm using a correlation metrics and gene ontology
A fuzzy c-means algorithm was adapted for analyzing microarray data. The adaptation consisted of initialization of fuzzy centroids using gene ontology information and the use of P...
Mingrui Zhang, Terry M. Therneau, Michael A. McKen...
IJON
2006
134views more  IJON 2006»
13 years 7 months ago
A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems
A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
Mu-Chun Su, Chien-Hsing Chou, Eugene Lai, Jonathan...
JUCS
2008
160views more  JUCS 2008»
13 years 7 months ago
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches
: The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
Marcos Evandro Cintra, Heloisa de Arruda Camargo, ...
HIS
2004
13 years 8 months ago
A Novel Fuzzy Approach to Speech Recognition
This paper presents a novel approach to speech recognition using fuzzy modeling. The task begins with conversion of speech spectrogram into a linguistic description based on arbit...
Ramin Halavati, Saeed Bagheri Shouraki, Mahsa Eshr...