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- W2364160412 abstract "Presented an approach to handle the training of fuzzy classifier with ellipsoidal regions. Described structure of fuzzy classifier and analyzes the possible reasons causing misclassification when ellipsoids of different classes overlap. Proposed two approaches based on dynamic clustering to generate a new fuzzy rule, and real-coded genetic algorithm was used to train the ellipsoidal regions. Experiments on two databases showed that the approach is more efficient, especially when ellipsoidal regions overlap heavily." @default.
- W2364160412 created "2016-06-24" @default.
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- W2364160412 date "2004-01-01" @default.
- W2364160412 modified "2023-09-27" @default.
- W2364160412 title "Approach for Training Fuzzy Classifier with Ellipsoidal Region by Dynamic Clustering" @default.
- W2364160412 hasPublicationYear "2004" @default.
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