Výsledky vyhledávání - "Xue, Yangtao"

The core concept of pattern recognition is that digs inner mode between data in the same class. The within-class data has a similar distribution, while between-class data has some distinction in different forms. Feature selection utilizes the differe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0b45afaa837fd20b78a2cd538e8830ee
https://doi.org/10.1109/cbd.2019.00052

Zobrazit plný text záznamu

Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process

Autor: Bangjun Wang, Li Zhang, Xue Yangtao, Tang Baige

Publikováno v: Neural Information Processing ISBN: 9783030042110
ICONIP (4)

Fault detection can be taken as a behavior of detecting abnormal data in process data. Support vector data description (SVDD) has been successfully used for fault detection. Although density-induced support vector data description (D-SVDD) can give a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::498841b1d1b8aa48bda7eeb9c388120a
https://doi.org/10.1007/978-3-030-04212-7_46

Zobrazit plný text záznamu

Autor: Bangjun Wang, Xue Yangtao, Li Zhang

Publikováno v: Neural Information Processing ISBN: 9783319700922
ICONIP (4)

The aim of feature selection applied to fault diagnosis is to select an optimal feature subset that is relevant to the faults. The optimal feature subset with fewer features contains more discriminative information which can improve the performance o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::849221399273bc3afb4c68c279ca3054
https://doi.org/10.1007/978-3-319-70093-9_41

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání