Variable selection in identification of a high dimensional nonlinear non-parametric system
Er-Wei BAI
Wenxiao ZHAO
Weixing ZHENG
摘要：The 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.
机标关键词：system identificationvariable selectioncurse of dimensionalityidentification of
资助基金：This work was partial y supported by the National Science Foundation(CNS-1239509)the National Key Basic Research Program of China (973 program)(2014CB845301)the National Natural Science Foundation of China()the National Natural Science Foundation of China(61104052)the National Natural Science Foundation of China(61273193)the National Natural Science Foundation of China(61227902)the National Natural Science Foundation of China(61134013)the Australian Research Council(DP120104986)
论文发表日期：2015-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：16( 1-16 )
英文信息