An improved BP network classifier based on VPRS feature reduction

Li Mengxin; Wu Chengdong; Zhang Ying; Yue Yong

doi:10.1109/WCICA.2006.1713881

An improved BP network classifier based on VPRS feature reduction

Li Mengxin^*, Wu Chengdong, Zhang Ying, Yue Yong

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

2 Citations (Scopus)

Abstract

Variable precision rough sets (VPRS), as a extension of rough sets (RS) is adopted to reduce the redundant features for its ability of more useful information adopted compared with RS. The reduced features after VPRS are fed into the improved BP network proposed to inspect the defects of surface quality, which results in short training time and a high classification accuracy with a typical application in defect inspection of wood veneer.

Original language	English
Title of host publication	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages	9677-9680
Number of pages	4
DOIs	https://doi.org/10.1109/WCICA.2006.1713881
Publication status	Published - 2006
Externally published	Yes
Event	6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China Duration: 21 Jun 2006 → 23 Jun 2006

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	2

Conference

Conference	6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/Territory	China
City	Dalian
Period	21/06/06 → 23/06/06

Keywords

An improved BP algorithm
Feature reduction
VPRS
Wood veneer

Access to Document

10.1109/WCICA.2006.1713881

Cite this

Mengxin, L., Chengdong, W., Ying, Z., & Yong, Y. (2006). An improved BP network classifier based on VPRS feature reduction. In Proceedings of the World Congress on Intelligent Control and Automation (WCICA) (pp. 9677-9680). Article 1713881 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2). https://doi.org/10.1109/WCICA.2006.1713881

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title = "An improved BP network classifier based on VPRS feature reduction",

abstract = "Variable precision rough sets (VPRS), as a extension of rough sets (RS) is adopted to reduce the redundant features for its ability of more useful information adopted compared with RS. The reduced features after VPRS are fed into the improved BP network proposed to inspect the defects of surface quality, which results in short training time and a high classification accuracy with a typical application in defect inspection of wood veneer.",

keywords = "An improved BP algorithm, Feature reduction, VPRS, Wood veneer",

author = "Li Mengxin and Wu Chengdong and Zhang Ying and Yue Yong",

year = "2006",

doi = "10.1109/WCICA.2006.1713881",

language = "English",

isbn = "1424403324",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "9677--9680",

booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",

}

Mengxin, L, Chengdong, W, Ying, Z & Yong, Y 2006, An improved BP network classifier based on VPRS feature reduction. in Proceedings of the World Congress on Intelligent Control and Automation (WCICA)., 1713881, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 2, pp. 9677-9680, 6th World Congress on Intelligent Control and Automation, WCICA 2006, Dalian, China, 21/06/06. https://doi.org/10.1109/WCICA.2006.1713881

An improved BP network classifier based on VPRS feature reduction. / Mengxin, Li; Chengdong, Wu; Ying, Zhang et al.
Proceedings of the World Congress on Intelligent Control and Automation (WCICA). 2006. p. 9677-9680 1713881 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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AU - Chengdong, Wu

AU - Ying, Zhang

AU - Yong, Yue

PY - 2006

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AB - Variable precision rough sets (VPRS), as a extension of rough sets (RS) is adopted to reduce the redundant features for its ability of more useful information adopted compared with RS. The reduced features after VPRS are fed into the improved BP network proposed to inspect the defects of surface quality, which results in short training time and a high classification accuracy with a typical application in defect inspection of wood veneer.

KW - An improved BP algorithm

KW - Feature reduction

KW - VPRS

KW - Wood veneer

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DO - 10.1109/WCICA.2006.1713881

M3 - Conference Proceeding

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SN - 1424403324

SN - 9781424403325

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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BT - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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Y2 - 21 June 2006 through 23 June 2006

ER -

An improved BP network classifier based on VPRS feature reduction

Abstract

Publication series

Conference

Keywords

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