Application of RBF for strip shape recognition - Details

Author：

Lu, Y. (Lu, Y..) (Scholars：卢岳) | Xu, Z. (Xu, Z..) | Qiao, J. (Qiao, J..) | Duan, J. (Duan, J..)

Indexed by：

Scopus

Abstract：

Based　on　radial　basis　function　neural　network　(RBF　NN),　the　paper　proposed　a　new　algorithm　for　strip　shape　recognition.　Compared　with　back　propagation　(BP)　algorithm　and　improved　least　squares　method　(LSM),　RBF　NN　shows　excellent　overall　performance,　such　as　learning　speed,　recognition　precision　and　anti-interference　capability.　Copyright　©　2005　IFAC.

Keyword：

BP; Improved LSM; Pattern recognition; RBF; Strip shape

Author Community：

[ 1 ] [Lu, Y.]College of Electronics and Information Engineering, Beijing University of Technology, Beijing, 100022, China
[ 2 ] [Xu, Z.]College of Electronics and Information Engineering, Beijing University of Technology, Beijing, 100022, China
[ 3 ] [Qiao, J.]College of Electronics and Information Engineering, Beijing University of Technology, Beijing, 100022, China
[ 4 ] [Duan, J.]College of Electronics and Information Engineering, Beijing University of Technology, Beijing, 100022, China

Reprint Author's Address：

卢岳
[Lu, Y.]College of Electronics and Information Engineering, Beijing University of Technology, Beijing, 100022, China

Email：

xiaolunihao@emails.bjut.edu.cn

Show more details

Related Keywords：

Source ：

IFAC Proceedings Volumes (IFAC-PapersOnline)

ISSN： 1474-6670

Year： 2005

Volume： 16

Page： 192-196

Language： English

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 0

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

材料科学与工程学院本学院/部未明确归属的数据

Get Fulltext

Library Discovery Baidu Scholar Search SCOPUS

Type
Departments

All Years Choose Year From to