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...

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Bibliographic Details
Main Authors: Chih-Jen Kao, 高志仁
Other Authors: Shinn-Ying Ho
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/bcy6gx