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variableselectioninidentificationofahighdimensionalnonlinearnonparametricsystem
Bai Erwei1; Zhao Wenxiao2; Zheng Weixing3
2015
Source Publicationcontroltheoryandtechnology
ISSN2095-6983
Volume013Issue:001Pages:1
AbstractThe problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described. The inherent difficulty, the curse of dimensionality, is introduced. Then its connections to various topics and research areas are briefly discussed, including order determination, pattern recognition, data mining, machine learning, statistical regression and manifold embedding. Finally, some results of variable selection in system identification in the recent literature are presented.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/46801
Collection中国科学院数学与系统科学研究院
Affiliation1.艾奥瓦大学
2.中国科学院国家数学与交叉科学中心
3.School of Computing, Engineering and Mathematics, University of Western Sydney
Recommended Citation
GB/T 7714
Bai Erwei,Zhao Wenxiao,Zheng Weixing. variableselectioninidentificationofahighdimensionalnonlinearnonparametricsystem[J]. controltheoryandtechnology,2015,013(001):1.
APA Bai Erwei,Zhao Wenxiao,&Zheng Weixing.(2015).variableselectioninidentificationofahighdimensionalnonlinearnonparametricsystem.controltheoryandtechnology,013(001),1.
MLA Bai Erwei,et al."variableselectioninidentificationofahighdimensionalnonlinearnonparametricsystem".controltheoryandtechnology 013.001(2015):1.
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