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Study on Japanese corporate ratings by Rating agencies with Artificial Neural Network and Self-organizing Maps

Study on Japanese corporate ratings by Rating agencies with Artificial Neural Network and Self-organizing Maps
基于人工神经网络和自组织图的评级机构日本企业评级研究
批准号:
19530374
负责人:
TANAKA Katsuaki
金额:
$2.91万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2007
资助国家:
日本
项目状态:
已结题
起止时间:
2007 至 2009

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中文摘要
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英文摘要
We tried to verify that artificial neural network will be stronger tool to simulate only using quantitative variables the corporate ratings that was determined by the corporate agencies using quantitative and qualitative variables in Japan. We are able to make clear the factors that make strong results to the corporate ratings. In order to raise the accuracy, We expected and tried to use the Cluster analysis and self organizing map. But we were not able to get better results.
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会议论文
Empirical Study on the stability of Japanese Corporate Ratings with Neural network
日本企业评级稳定性的神经网络实证研究
DOI: --
发表时间: 2009
期刊:
影响因子: --
作者: [勝田英紀, 田中克明, 俣野義則, 田中克明]
通讯作者: 田中克明
DOI: --
发表时间: 2009
期刊: 摂南大学経営情報学部誌
影响因子: --
作者: [田中克明, 勝田英紀, 萩原統宏]
通讯作者: 萩原統宏
ニューラル・ネットワークを用いた格付の定量分析
使用神经网络对评级进行定量分析
DOI: --
发表时间: 2007
期刊: 日本経営財務研究学会誌
影响因子: --
作者: [勝田英紀, 田中克明]
通讯作者: 田中克明
日米格付機関の格付け決定要因の比較分析
日美评级机构评级决定因素对比分析
DOI: --
发表时间: 2006
期刊: 近畿大学商経学会誌
影响因子: --
作者: [勝田英紀, 田中克明, 俣野義則]
通讯作者: 俣野義則
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