書誌事項
- タイトル別名
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- Bill Money Classification of Japanese Yen Using Time Series Data
- 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
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抄録
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.
収録刊行物
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- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
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電気学会論文誌Ｃ（電子・情報・システム部門誌） 115 (3), 354-360, 1995
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204609062400
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- NII論文ID
- 130006844614
- 10004438608
- 10001706933
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
- http://id.crossref.org/issn/03854221
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- NDL書誌ID
- 3593147
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可