Applications of Fuzzy Support Vector Machines in Medical Engineering and Bioinformatics

碩士 === 國立高雄應用科技大學 === 電子與資訊工程研究所碩士班 === 92 === The support vector machine (SVM) is a new learning method and has shown comparable or better results than the neural networks on some applications. In this thesis, we applied SVM to two issues contained medical engineering and bioinformatics, respective...

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Bibliographic Details
Main Authors: Li-Cheng Jin, 金立誠
Other Authors: Cheng-Hong Yang
Format: Others
Language:en_US
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/49449955668694550309

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