Finding kernel function for stock market prediction with support vector regression
Stock market prediction is one of the fascinating issues of stock market research. Accurate stock prediction becomes the biggest challenge in investment industry because the distribution of stock data is changing over the time. Time series forcasting, Neural Network (NN) and Support Vector Machine (...
Saved in:
主要作者: | Chai, Chon Lung |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2006
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/3974/1/ChaiChonLungMFSKSM2006.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Comparative study between radial basis function and polynomial of support vector regression in predicting flood
由: Azhari , Farhana
出版: (2010) -
Time series support vector regression models with missing data treatments for water level prediction
由: Ibrahim, Noraini
出版: (2014) -
Enzyme sub-functional class prediction using multibiological knowledge feature respresentation and twin support vector machine
由: Guramad Singh, Sharon Kaur
出版: (2013) -
Finding Best Semantic Relatedness Functions For Schema Matchers
由: Emadzadeh, Ehsan
出版: (2010) -
Email categorization using support vector machine
由: Mohd. Daud, Mariah
出版: (2004)