Paper Title:
Early Warning of the Financial Risk on the Power Industry
  Abstract

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, 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
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Price
$32.00
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