Economic Analysis of Risky Projects Based on LS-SVM

Abstract:

Article Preview

Risk management and its accurate analysis are very important for project management. RBF and MLP Neural Network Model are common methods of risk management and analysis, which are not accurate enough. In this paper a new method based on LS-SVM is introduced. Analytical models of risky projects are investigated and function approximation results are compared. Experimental results show that the regression analysis of risk based on LS-SVM method has higher prediction accuracy and better generalization ability.

Info:

Periodical:

Edited by:

Helen Zhang and David Jin

Pages:

403-406

DOI:

10.4028/www.scientific.net/AMM.63-64.403

Citation:

X. C. Guo et al., "Economic Analysis of Risky Projects Based on LS-SVM", Applied Mechanics and Materials, Vols. 63-64, pp. 403-406, 2011

Online since:

June 2011

Export:

Price:

$35.00

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

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