- Category:
- AI-NN-PR
- Tags:
-
[PDF]
- File Size:
- 206kb
- Update:
- 2012-11-26
- Downloads:
- 0 Times
- Uploaded by:
- ziuguang
Description: Least squares support vector machine(LS-SVM) is computationally more effi cient than the standard SVM, but
unfortunately the robustness of standard SVM is lost. LS-SVM might lead to estimates which are less robust with respect
to outliers on the data or when the assumption of a Gaussian distribution for error variables is not realistic. Therefore,
an approach based on the robust least squares support vector machine(RLS-SVM) is proposed, in which robust learning
algorithm(RLA) is employed to enhance the robust capability of LS-SVM. Finally, simulation analysis and the modeling of
a typical plant for hydrometallurgy illustrate the effectiveness and feasibility of the presented method.
To Search:
File list (Check if you may need any files):
基于鲁棒学习的最小二乘支持向量机及其应用.pdf
Download