Early Warning of the Financial Risk on the Power Industry

Lei Zhou; He Jun Jiao

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 217-218Early Warning of the Financial Risk on the Power...

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.

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Periodical:

Advanced Materials Research (Volumes 217-218)

Pages:

1829-1832

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.217-218.1829

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Online since:

March 2011

Authors:

Lei Zhou, He Jun Jiao

Keywords:

Early Warning Analysis, Least Squares Support Vector Machines (Ls-SVM), Power Industry

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