Application of Particle Swarm Optimization Algorithm to Explore the Financial Crisis

• Main Authors: Sin-Ji Lin, 林信吉
• Other Authors: Chao-Wei Chou
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/13886927563373114247

碩士 === 義守大學 === 資訊管理學系 === 101 === This study aimed to use PSO algorithm to predict the classification for the financial crisis, from the perspective of the field of data mining, data mining in the process for some data sets into discrete attribute contains the information, but PSO algorithm for discrete effects-based data classification, and genetic algorithms, neural, support vector machine and the PSO algorithm improved results obtained compared with each other, perhaps the resulting effects vary. PSO algorithm used in this study, data mining aimed month off less relevant documents on the other hand, by changing the fitness function and the addition formula after, PSO algorithm is whether we can have better results were discussed. In this study, data collection, the use of domestic science