透過您的圖書館登入
IP:3.139.85.192
  • 期刊

A Cluster Analysis of Bank Lending Behavior by Using Self-Organizing Map: The Case of Japan

並列摘要


This paper provides a cluster analysis of the bank lending behavior in Japan from 1977 to 2002, in which the bubble economy occurred. The self-organizing map is used for the clustering. This clustering method is a type of artificial neural network and enables us to visualize the similarities among the high-dimensional data on bank lending. A result of clustering indicates that this time period is classified into two periods: before and after 1992. Moreover, we successfully extract the characteristics of bank lending behavior on 8 borrower sectors from another clustering result.

被引用紀錄


歐信良(2010)。雙層Mo/Si及CuSi系可寫一次光碟記錄薄膜之研究〔博士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2010.03237
吳汀淏(2007)。鍺基可寫一次光碟記錄薄膜之微結構及光學性質研究〔博士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2007.02816
徐銘燦(2014)。記憶卡射出成型模內沖切力學之有限元素分析〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-2907201412285600

延伸閱讀