A Study of e-loan Default Prediction Modeling with Neural Network Applications

• Main Authors: Ming-Ter Morris Chuang, 莊明德
• Other Authors: Ya-Sui Hilary Cheng
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/15263358316410250727

碩士 === 元智大學 === 管理研究所 === 97 === The purpose of this study is going to set up the financial report early alarm model with Neural Network methodology. The forecast model is used to detect the financial crisis in few years latter happening in a company. Most Enterprises encounter the financial crisis can often be offered from the financial ratio from the financial report. This research will combine each financial ratio from the Taiwan Economic Journal database, through the analytic approach that combines the Self-Organizing Feature Map (SOFM) to find out the similar group, and using K-means looking for fitness clustering. In the process, we then choose the six majors industries in Taiwan, and pick up the 89 companies, which including the listed companies or was in the listed companies to do analysis. Finally, we asked an expert to help us recognizing the company with our clustering levels, and hope the model that is purposed by this research is able to an analysis tool in the practice.