Applying the two stages classification to improve the Least square-support vector machine classification accuracy
碩士 === 國立勤益科技大學 === 工業工程與管理系 === 95 === Support Vector Machine (SVM) is a new technique for data classification. Least squares support vector (LS-SVM) machine was the reformulation of the principles of SVM. In this study, we have detected on BUPA liver disorders database using LS-SVM with Taguchi...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/18806001572914135369 |