APPLYING SUPPORT VECTOR MACHINE AND FEATURE SELECTION TO CHINESE PCB R&D DOCUMENT CLASSIFICATION AND RETRIEVAL

Chung-Hua University Repository > 管理學院 > 企業管理學系 > 研討會論文 > Item 987654321/28356

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://chur.chu.edu.tw/handle/987654321/28356

题名:	APPLYING SUPPORT VECTOR MACHINE AND FEATURE SELECTION TO CHINESE PCB R&D DOCUMENT CLASSIFICATION AND RETRIEVAL
作者:	莊英慎 Juang, Ying-Shen
贡献者:	企業管理學系 Business Administration
关键词:	─ Support Vector Machine (SVM);Future Selection;Printed Circuit Board (PCB);Document Classification
日期:	2012
上传时间:	2014-06-26 23:56:44 (UTC+8)
摘要:	─ The operation of product research and development (R&D) is relatively essential for a technology company. R&D knowledge is typically presented as documents, either in paper or electronic forms. Handling knowledge generated from the R&D processes is diffic
显示于类别:	[企業管理學系] 研討會論文

文件中的档案:

档案	描述	大小	格式	浏览次数
APPLYINGSUPPORTVECTORMACHINEANDFEATURESELECTIONTOCHINESEPCBR&DDOCUMENTCLASSIFICA.pdf		31Kb	Adobe PDF	615	检视/开启

在CHUR中所有的数据项都受到原著作权保护.