Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Raised Cosine RBF 신경망을 이용한 무제약 필기체 숫자 인식Recognition of Unconstrained Handwritten Digits Using Raised Cosine RBF Neural Networks

Other Titles
Recognition of Unconstrained Handwritten Digits Using Raised Cosine RBF Neural Networks
Authors
김상희
Issue Date
Jan-2002
Publisher
한국신호처리.시스템학회
Citation
신호처리.시스템학회 논문지, v.3, no.1, pp 48 - 53
Pages
6
Journal Title
신호처리.시스템학회 논문지
Volume
3
Number
1
Start Page
48
End Page
53
URI
https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/25077
Files in This Item
There are no files associated with this item.
Appears in
Collections
Department of Medical IT Convergence Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE