Financial crisis prediction based on OR ensemble

• Main Authors: AN-jie Dai, 戴安傑
• Other Authors: De-ron Liang
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/06295521717539519268

碩士 === 國立中央大學 === 資訊工程學系 === 102 === Financial crisis problem has been important and widely studied topic. Financial crisis prediction is receiving increasing attention of stakeholders and researchers in the worldwide. If you want to predict accurately, choose a good prediction model is very important, from the literature can be found , in the common data set, there is no consistant conclusion of the prediction model for us to solve the financial crisis prediction problem, and recent studies have shown that ensemble learning is good and stable than a single classifier, thus, this study base on ensemble learning, to design a new prediction model, expect this prediction model not only deal with existing financial crisis data sets, but also predict accurately about a future data sets that we have never seen.