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Active Disturbance Rejection Control for a Fluid-Driven Hand Rehabilitation Device 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 卷号: 26, 期号: 2, 页码: 841-853
作者:  Li, Houcheng;  Cheng, Long;  Li, Zhengwei;  Xue, Wenchao
收藏  |  浏览/下载：128/0  |  提交时间：2021/10/26
Actuators  Exoskeletons  Performance evaluation  Training  IEEE transactions  Mechatronics  Active disturbance rejection control  extended state observer  extension motion  hand rehabilitation  parameter selection  transient  steady-state performance  
Variable selection for random effects two-part models 期刊论文
STATISTICAL METHODS IN MEDICAL RESEARCH, 2019, 卷号: 28, 期号: 9, 页码: 2697-2709
作者:  Han, Dongxiao;  Liu, Lei;  Su, Xiaogang;  Johnson, Bankole;  Sun, Liuquan
收藏  |  浏览/下载：207/0  |  提交时间：2020/01/10
High dimensional  mixed effects  pharmacogenetics  precision medicine  tuning parameter  variable selection  
Active disturbance rejection control for PMLM servo system in CNC machining 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2016, 卷号: 29, 期号: 1, 页码: 74-98
作者:  Guo Jianxin;  Xue Wenchao;  Hu Tao
收藏  |  浏览/下载：106/0  |  提交时间：2018/07/30
Active disturbance rejection control  CNC machine  nonlinear friction  parameter selection  servo system  
Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 12, 页码: 15392-15399
作者:  Yu, Lean;  Yao, Xiao;  Wang, Shouyang;  Lai, K. K.
收藏  |  浏览/下载：108/0  |  提交时间：2018/07/30
Credit risk evaluation  Weighted LSSVM classifier  Least squares algorithm  Design of experiment  Parameter selection  
FOCUSED INFORMATION CRITERION AND MODEL AVERAGING FOR GENERALIZED ADDITIVE PARTIAL LINEAR MODELS 期刊论文
ANNALS OF STATISTICS, 2011, 卷号: 39, 期号: 1, 页码: 174-200
作者:  Zhang, Xinyu;  Liang, Hua
收藏  |  浏览/下载：108/0  |  提交时间：2018/07/30
Additive models  backfitting  focus parameter  generalized partially linear models  marginal integration  model average  model selection  polynomial spline  shrinkage methods  
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining 期刊论文
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 卷号: 13, 期号: 1, 页码: 87-102
作者:  Yu, Lean;  Chen, Huanhuan;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载：99/0  |  提交时间：2018/07/30
Artificial neural networks (ANNs)  evolutionary algorithms (EAs)  feature selection  genetic algorithm (GA)  least squares support vector machine (LSSVM)  mixed kernel  parameter optimization  statistical models  stock market trend mining