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Global and local performance in fuzzy modeling
John Yen
, Wayne Gillespie
Cancer Institute, Cancer Control
Penn State Cancer Institute
College of Information Sciences and Technology
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Keyphrases
Fuzzy Model
100%
Local Performance
100%
Global Performance
100%
Fuzzy Modeling
100%
Training Data
66%
Kalman Filter
66%
Local Behavior
66%
Takagi-Sugeno-Kang Model
66%
Local Fitness
66%
Fuzzy Logic
33%
Model Output
33%
Training Set
33%
Identification Problem
33%
Filter Method
33%
Model Identification
33%
Logical Frameworks
33%
If-then Rules
33%
Modeling Paradigms
33%
Computer Science
Training Data
100%
Kalman Filter
100%
Fuzzy Modeling
100%
Identification Problem
50%
Fuzzy Logic
50%
Underlying Data
50%