Design of Accurate and Compact Fuzzy Rule-Based Classifiers Using Evolutionary Grid Partition of Feature Space
碩士 === 逢甲大學 === 資訊工程所 === 91 === This thesis proposes an evolutionary approach to designing the accurate classifier with a compact fuzzy-rule base using an intelligent genetic algorithm IGA and a grid partition of feature space. To design an accurate fuzzy classification system, the flexibility of m...
Main Authors: | Chih-Jen Kao, 高志仁 |
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Other Authors: | Shinn-Ying Ho |
Format: | Others |
Language: | zh-TW |
Published: |
2003
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Online Access: | http://ndltd.ncl.edu.tw/handle/bcy6gx |
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