Tsung-Yuan Tseng

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Support vector machine (SVM) is a novel pattern classification method that is valuable in many applications. Kernel parameter setting in the SVM training process, along with the feature selection, significantly affects classification accuracy. The objective of this study is to obtain the better parameter values while also finding a subset of features that(More)
The back-propagation network (BPN) is a popular data mining technique. Nevertheless, different problems may require different network architectures and parameters. Therefore, rule of thumb or "try and error" methods are usually used to determine them. However, these methods may lead worse network architectures and parameters. A dataset may contain many(More)
0360-8352/$ see front matter 2012 Elsevier Ltd. A doi:10.1016/j.cie.2012.01.004 ⇑ Corresponding author. Address: Department o Huafan University, No. 1, Huafan Rd., Shihding Dist., ROC. Tel.: +886 2 26632102x4375; fax: +886 2 26632 E-mail addresses: yrshiue@gmail.com, yrshiue@cc. To confirm semiconductor wafer fabrication (FAB) operating characteristics, the(More)
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