Bill Money Classification of Japanese Yen Using Time Series Data

DOI Web Site Web Site 6 Citations 8 References

Bibliographic Information

Other Title
  • 時系列データを用いた日本円紙幣の識別
  • ジケイレツ データ オ モチイタ ニホンエン シヘイ ノ シキベツ

Search this article

Abstract

Bill money classification has become important due to progress of office automation. In this paper, we consider the bill money classification problem using time series data which have been obtained from Japanese bill money. Especially, we treat three kinds of Japanese bill money such as ¥1, 000, ¥5, 000, and ¥10, 000. For modelling the time series data, we adopt two methods. One is to use Auto-Regressive (AR) models and the other is to use neural networks. First, we make an AR model according to each bill money stated above. Using AR models for three kinds of Japanese bill money, untrained time series data of bill money is classified into one of three categories such that the prediction error is minimized. Then neural networks for prediction of the time series is used to classify the bill money. Furthermore, in order to compare these methods, we introduce a reliability measure for classification and discuss the ability of pattern classification.

Journal

Citations (6)*help

See more

References(8)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top