B-SPLINE

作品数:246被引量:414H指数:10
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相关领域:自动化与计算机技术更多>>
相关作者:史庭云郑康平姜虹王小椿吴坚更多>>
相关机构:武汉大学哈尔滨工业大学中国科学院北京理工大学更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家教育部博士点基金更多>>
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Isogeometric Analysis-Based Topological Optimization for Heterogeneous Parametric Porous Structures
《Journal of Systems Science & Complexity》2023年第1期29-52,共24页HU Chuanfeng HU Hui LIN Hongwei YAN Jiacong 
supported by the National Natural Science Foundation of China under Grant Nos.61872316 and 61932018;the National Key R&D Plan of China under Grant No.2020YFB1708900.
Porous structures widely exist in nature and artifacts,which can be exploited to reduce structural weight and material usage or improve damage tolerance and energy absorption.In this study,the authors develop an appro...
关键词:B-spline solid heterogeneous porous structure isogeometric analysis topological optimization triply periodic minimal surface 
B-Spline Method for Spatio-Temporal Inverse Model
《Journal of Systems Science & Complexity》2022年第6期2336-2360,共25页WANG Hongxia ZHAO Zihan WU Yuehua LUO Xuehong 
the National Social Science Fund of China under Grant No.22BTJ021;“Qinglan project”of Colleges and Universities of Jiangsu Province and Postgraduate Research&Practice Innovation Program of Jiangsu Province under Grant No.KYCX211941。
Inverse models can be used to estimate surface fluxes in terms of the observed atmospheric concentration measurement data.This paper proposes a new nonparametric spatio-temporal inverse model and provides the global e...
关键词:Inverse model spatio-temporal heterogeneity spatio-temporal correlation 
Robust Estimation for Partial Functional Linear Regression Model Based on Modal Regression被引量:2
《Journal of Systems Science & Complexity》2020年第2期527-544,共18页YU Ping ZHU Zhongyi SHI Jianhong AI Xikai 
supported by the National Natural Science Foundation of China under Grant Nos.11671096,11690013,11731011。
This paper presents a robust estimation procedure by using modal regression for the partial functional linear regression,which combines the common linear model with the functional linear regression model.The outstandi...
关键词:B-SPLINE functional data analysis functional linear model modal regression 
Profile Statistical Inference for Partially Linear Additive Models with a Diverging Number of Parameters
《Journal of Systems Science & Complexity》2019年第6期1747-1766,共20页WANG Xiuli ZHAO Shengli WANG Mingqiu 
supported by the National Natural Science Foundation of China under Grant No.11771250;the Natural Science Foundation of Shandong Province under Grant No.ZR2019MA002;the Program for Scientific Research Innovation of Graduate Dissertation under Grant No.LWCXB201803
This paper considers partially linear additive models with the number of parameters diverging when some linear cons train ts on the parame trie par t are available.This paper proposes a constrained profile least-squar...
关键词:B-spline basis constrained profile least-squares estimation diverging partially linear additive models profile likelihood ratio 
The Adaptive LASSO Spline Estimation of Single-Index Model被引量:4
《Journal of Systems Science & Complexity》2016年第4期1100-1111,共12页LU Yiqiang ZHANG Riquan HU Bin 
supported by the National Natural Science Foundation of China under Grant No.61272041
In this paper, based on spline approximation, the authors propose a unified variable selection approach for single-index model via adaptive L1 penalty. The calculation methods of the proposed estimators are given on t...
关键词:Adaptive LASSO B-SPLINE oracle property single-index model variable selection. 
Local Polynomial-Brunk Estimation in Semi-Parametric Monotone Errors-in-Variables Model with Right-Censored Data被引量:1
《Journal of Systems Science & Complexity》2015年第4期938-960,共23页XIA Wei CHEN Zhao WU Wuqing ZHOU Jianjun 
supported by Fundamental Research Funds for the Central Universities;the Research Funds of Renmin University of China under Grant No.11XNK027
This paper introduces a semi-parametric model with right-censored data and a monotone constraint on the nonparametrie part. The authors study the local linear estimators of the parametric coefficients and apply B-spli...
关键词:B-SPLINE grouped brunk local polynomial monotone regression right-censored semi-parametric model. 
TIME-OPTIMAL INTERPOLATION FOR CNC MACHINING ALONG CURVED TOOL PATHES WITH CONFINED CHORD ERROR被引量:4
《Journal of Systems Science & Complexity》2013年第5期836-870,共35页YUAN Chunming ZHANG Ke FAN Wei 
supported by a National Key Basic Research Project of China under Grant No.2011CB302400;the National Natural Science Foundation of China under Grant No.60821002
In this paper, two new interpolation algorithms lot CNC machining along curve^l tom pathes are proposed: a time-optimal interpolation algorithm under chord error, feedrate, and tangential acceleration bounds, and a g...
关键词:Chord error CNC interpolation cubic PH curve JERK quadratic B-spline time-optimalvelocity planning velocity limit curve. 
B-SPLINE PATCHES AND TRANSFINITE INTERPOLATION METHOD FOR PDE CONTROLLED SIMULATION被引量:1
《Journal of Systems Science & Complexity》2012年第2期348-361,共14页Yuanjie LIU Hongbo LI 
partially supported by NKBRSF under Grant No.2011CB302404;NSFC under Grant Nos. 10871195,10925105,60821002,and 50875027
This paper is to discuss an approach which combines B-spline patches and transfinite interpolation to establish a linear algebraic system for solving partial differential equations and modify the WEB-spline method dev...
关键词:B-spline representation finite element method RBF transfinite interpolation WEB-spline. 
AUTOMATIC SELECTION OF PARAMETERS IN SPLINE REGRESSION VIA KULLBACK-LEIBLER INFORMATION
《Systems Science and Mathematical Sciences》1995年第4期346-352,356+354,共9页SHI Peide(Department of Probability and Statistics, Peking University,Beijing 100871,China) 
AUTOMATICSELECTIONOFPARAMETERSINSPLINEREGRESSIONVIAKULLBACK-LEIBLERINFORMATIONAUTOMATICSELECTIONOFPARAMETERS...
关键词:Kullback-Leibler INFORMATION Akaike INFORMATION CRITERION regression SPLINE B-SPLINE function. 
ROBUST NONPARAMETRIC REGRESSION BASED ON L_1-NORM AND B-SPLINES
《Systems Science and Mathematical Sciences》1995年第2期187-192,共6页SHI Peide(Department of Probability and Statistics, Peking University, Beijing 100871,China)ZHANG Zhengjun(School Of Management,Beijing University of Aeronautics and Astronautics,Beijing 100083, China) 
ROBUSTNONPARAMETRICREGRESSIONBASEDONL_1-NORMANDB-SPLINESSHIPeide(DepartmentofProbabilityandStatistics,Peking...
关键词:B-SPLINE function L1-norm ESTIMATOR TURBO NONPARAMETRIC regression 
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