教師資料查詢 | 類別: 期刊論文 | 教師: 周建興 Chien-hsing Chou (瀏覽個人網頁)

標題:Feature Selection Method Based on Neighborhood Relationships: Applications in EEG Signal Identification and Chinese Character Recognition
學年104
學期2
出版(發表)日期2016/06/14
作品名稱Feature Selection Method Based on Neighborhood Relationships: Applications in EEG Signal Identification and Chinese Character Recognition
作品名稱(其他語言)
著者Yu-Xiang Zhao; Chien-Hsing Chou
單位
出版者
著錄名稱、卷期、頁數Sensors 16(6), pp.871(15 pages)
摘要: In this study, a new feature selection algorithm, the neighborhood-relationship feature
selection (NRFS) algorithm, is proposed for identifying rat electroencephalogram signals and
recognizing Chinese characters. In these two applications, dependent relationships exist among
the feature vectors and their neighboring feature vectors. Therefore, the proposed NRFS algorithm
was designed for solving this problem. By applying the NRFS algorithm, unselected feature vectors
have a high priority of being added into the feature subset if the neighboring feature vectors have
been selected. In addition, selected feature vectors have a high priority of being eliminated if the
neighboring feature vectors are not selected. In the experiments conducted in this study, the NRFS
algorithm was compared with two feature algorithms. The experimental results indicated that the
NRFS algorithm can extract the crucial frequency bands for identifying rat vigilance states and
identifying crucial character regions for recognizing Chinese characters.
關鍵字feature selection;neighborhood relationship;EEG signal;Chinese character recognition
語言英文
ISSN1424-8220
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者Yu-Xiang Zhao
審稿制度
國別瑞士
公開徵稿
出版型式,電子版
相關連結
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