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...

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Bibliographic Details
Main Authors: I-ching Chen, 陳怡靜
Other Authors: Chun-Hsu Ko
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/11385402094271423959