Early Warning of the Financial Risk on the Power Industry

Abstract:

Article Preview

The financial pre-warning is an important resource for establish financial policy. Aimed at the character of the power industry, the least squares support vector machine prediction model is given based on the principle of the statistical learning theory and structural risk minimization. The result is given that the forecasting model is effective and offers a new method to forecast the financial risk.

Info:

Periodical:

Advanced Materials Research (Volumes 217-218)

Edited by:

Zhou Mark

Pages:

1829-1832

DOI:

10.4028/www.scientific.net/AMR.217-218.1829

Citation:

L. Zhou and H. J. Jiao, "Early Warning of the Financial Risk on the Power Industry", Advanced Materials Research, Vols. 217-218, pp. 1829-1832, 2011

Online since:

March 2011

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.