Support vector regression with noise by using second-order cone programming
碩士 === 義守大學 === 電機工程學系碩士班 === 96 === In this thesis, the regression model establishment is made by support vector machine. And we use an algorithm of second-order cone programming (SOCP) to solve the problem of support vector regression with noise data. We can transform the support vector regression...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2008
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Online Access: | http://ndltd.ncl.edu.tw/handle/11385402094271423959 |