DocumentCode
2273057
Title
Algorithm to discriminate between new and used bills using a neural network
Author
Kang, Dongshik ; Raveendran, P. ; Omatu, Sigera
Author_Institution
Coll. of Eng., Osaka Prefecture Univ., Japan
fYear
1998
fDate
25-28 Aug 1998
Firstpage
367
Lastpage
372
Abstract
In this paper, we have proposed a method of classification for new and used currency bills from observed data using a neural network and a 2-stage adaptive digital filter (ADF). The 2-stage ADF is used in order to detect the desired signal from noisy input data. Whereas the neural network (NN) is used in order to discriminate new and used currency bill. The technique used here is based on an extension of the usual ADF designed by B. Widrow (1985) and the back-error-propagation (BP) method
Keywords
backpropagation; financial data processing; neural nets; 2-stage adaptive digital filter; back-error-propagation method; currency bills; neural network; new bills; used bills; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 1998. Proceedings. Ninth International Workshop on
Conference_Location
Vienna
Print_ISBN
0-8186-8353-8
Type
conf
DOI
10.1109/DEXA.1998.707426
Filename
707426
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