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:
Main Author: | Chai, Chon Lung |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2006
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/3974/1/ChaiChonLungMFSKSM2006.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative study between radial basis function and polynomial of support vector regression in predicting flood
by: Azhari , Farhana
Published: (2010) -
Time series support vector regression models with missing data treatments for water level prediction
by: Ibrahim, Noraini
Published: (2014) -
Enzyme sub-functional class prediction using multibiological knowledge feature respresentation and twin support vector machine
by: Guramad Singh, Sharon Kaur
Published: (2013) -
Finding Best Semantic Relatedness Functions For Schema Matchers
by: Emadzadeh, Ehsan
Published: (2010) -
Email categorization using support vector machine
by: Mohd. Daud, Mariah
Published: (2004)