## Abstract In this study, we propose a novel control methodology that introduces the use of support vector machines (SVMs) in the generalized predictive control (GPC) scheme. The SVM regression algorithms have extensively been used for modelling nonlinear systems due to their assurance of global s
โฆ LIBER โฆ
Hypersphere support vector machines based on generalized multiplicative updates
โ Scribed by Qing Wu; San-yang Liu; Le-you Zhang
- Publisher
- Chinese Electronic Periodical Services
- Year
- 2008
- Tongue
- English
- Weight
- 192 KB
- Volume
- 12
- Category
- Article
- ISSN
- 1007-6417
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Support vector machines-based generalize
โ
S. Iplikci
๐
Article
๐
2006
๐
John Wiley and Sons
๐
English
โ 364 KB
Prediction of neurotoxins by support vec
โ
Xuan-Min Guang; Yan-Zhi Guo; Xia Wang; Meng-Long Li
๐
Article
๐
2010
๐
International Association of Scientists in the Int
๐
English
โ 268 KB
Diagnosing Breast Cancer Based on Suppor
โ
H. X. Liu; R. S. Zhang; F. Luan; X. J. Yao; M. C. Liu; Z. D. Hu; B. T. Fan
๐
Article
๐
2003
๐
John Wiley and Sons
โ 51 KB
Nonlinear structural response prediction
โ
Dong Yinfeng; Li Yingmin; Lai Ming; Xiao Mingkui
๐
Article
๐
2008
๐
Elsevier Science
๐
English
โ 614 KB
A support vector machines (SVM)-based two-stage method is proposed to simulate and predict the nonlinear dynamic response of structures. In the first stage, an autoregressive moving average with exogenous input (ARMAX) model is used to represent the acceleration response as the output of a single-in
Estimation of sand liquefaction based on
โ
Su, Yong-hua ;Ma, Ning ;Hu, Jian ;Yang, Xiao-li
๐
Article
๐
2008
๐
Chinese Electronic Periodical Services
๐
English
โ 257 KB
Test generation algorithm for analog sys
โ
Ting Long; Houjun Wang; Bing Long
๐
Article
๐
2010
๐
Springer-Verlag
๐
English
โ 235 KB