Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 46th Annual Conference of the Institute of Systems, Control and Information Engineers
Conference information
Nuro-Classification of Bill from the Acostic Feature
Ryo IkemotoSigeru Omatu
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Pages 254

Details
Abstract
The utility of neural network based on the back propagation is reported. But it is difficult to analyze neural network based on the back propagation. In this paper, we propose a neural network based on the Learning Vector Quantization and discriminate between new and old bills from the acostic feature. A simulation shows the utility of the proposal way.
Content from these authors
© 2002 The Institute of Systems, Control and Information Engineers
Previous article Next article
feedback
Top