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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 231394, 7 pages
http://dx.doi.org/10.1155/2015/231394
Research Article

A Hybrid Least Square Support Vector Machine Model with Parameters Optimization for Stock Forecasting

1International Business School, Shaanxi Normal University, Xian 710062, China
2Department of Management Sciences, City University of Hong Kong, Hong Kong
3School of Business, Tung Wah College, Hong Kong

Received 30 May 2014; Accepted 20 August 2014

Academic Editor: Shifei Ding

Copyright © 2015 Jian Chai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jian Chai, Jiangze Du, Kin Keung Lai, and Yan Pui Lee, “A Hybrid Least Square Support Vector Machine Model with Parameters Optimization for Stock Forecasting,” Mathematical Problems in Engineering, vol. 2015, Article ID 231394, 7 pages, 2015. doi:10.1155/2015/231394