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EVOW
2000
Springer

Combining Evolutionary, Connectionist, and Fuzzy Classification Algorithms for Shape Analysis

11 years 9 months ago
Combining Evolutionary, Connectionist, and Fuzzy Classification Algorithms for Shape Analysis
This paper presents an investigation into the classification of a difficult data set containing large intra-class variability but low inter-class variability. Standard classifiers are weak and fail to achieve satisfactory results however, it is proposed that a combination of such weak classifiers can improve overall performance. The paper also introduces a novel evolutionary approach to fuzzy rule generation for classification problems.
Paul L. Rosin, Henry O. Nyongesa
Added 24 Aug 2010
Updated 24 Aug 2010
Type Conference
Year 2000
Where EVOW
Authors Paul L. Rosin, Henry O. Nyongesa
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