-
- MATSUMOTO Yoshiyuki
- Faculty of Economics, Shimonoseki City University
-
- SAKURAKI Shinichi
- Faculty of Business Administration, Asahi University
Bibliographic Information
- Other Title
-
- ディープラーニングを利用した出土銭貨の画像認識
- ディープラーニング オ リヨウ シタ シュツドセンカ ノ ガゾウ ニンシキ
Search this article
Abstract
<p>Recently, AI technology called deep learning has been attracting attention in the field of image recognition. Image recognition is a process of estimating a corresponding image pattern from image information. Deep learning is a kind of neural network. It is a method of machine learning using a hierarchical neural network with a multi-layer structure. Deep learning has shown great results in pattern recognition. In this study, we consider the classification of unearthed coins using deep learning. There are many types of unearthed coins to be excavated from a ruin. However, the classification of unearthed coins is even difficult task for archaeological experts. The objective of this research is to conduct studies into the classification of unearthed coins by deep learning. If excavated coins can be classified by computer image recognition, it will be very useful in numismatics. </p>
Journal
-
- Journal of Biomedical Fuzzy Systems Association
-
Journal of Biomedical Fuzzy Systems Association 21 (2), 47-58, 2019-12-28
Biomedical Fuzzy Systems Association
- Tweet
Details 詳細情報について
-
- CRID
- 1390850313412122240
-
- NII Article ID
- 130007998418
-
- NII Book ID
- AA1145146X
-
- ISSN
- 24242578
- 13451537
-
- NDL BIB ID
- 030275480
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL
- CiNii Articles
-
- Abstract License Flag
- Disallowed