Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms.
This paper proposes a novel Adaboost algorithm to learn fuzzy-rule-based classifiers. Connections between iterative learning and boosting are analyzed in terms of their respective structures and the manner these algorithms address the cooperation-competition problem. The results are used to explain...
| 发表在: | IEEE Transactions on fuzzy systems 12, 3 (2004). |
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| 格式: | 文件 |
| 语言: | English |
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