中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共22条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Analyzing and optimizing yield formation of tomato introgression lines using plant model 期刊论文
EUPHYTICA, 2021, 卷号: 217, 期号: 6, 页码: 17
作者:  Kang, Mengzhen;  Wang, Xiujuan;  Qi, Rui;  Jia, Zhi-Qi;  de Reffye, Philippe;  Huang, San-Wen
Adobe PDF(967Kb)  |  收藏  |  浏览/下载：5168/77  |  提交时间：2021/06/07
GreenLab model  Yield formation  Parameter estimation  Tomato introgression line  Optimization  
Basis Function Matrix-Based Flexible Coefficient Autoregressive Models: A Framework for Time Series and Nonlinear System Modeling 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 2, 页码: 614-623
作者:  Chen, Guang-Yong;  Gan, Min;  Chen, C. L. Philip;  Li, Han-Xiong
收藏  |  浏览/下载：200/0  |  提交时间：2021/03/08
Model building  nonlinear least squares (NLLS)  parameter estimation  system modeling  time series  
Recursive Bayesian Algorithm for Identification of Systems with Non-uniformly Sampled Input Data 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 335-344
作者:  Shao-Xue Jing;  Tian-Hong Pan;  Zheng-Ming Li
浏览  |  Adobe PDF(1082Kb)  |  收藏  |  浏览/下载：148/50  |  提交时间：2021/02/23
Parameter estimation  discrete time systems  Gaussian noise  Bayesian algorithm  covariance resetting.  
An occlusion-resistant circle detector using inscribed triangles 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 109, 页码: 15
作者:  Zhao, Mingyang;  Jia, Xiaohong;  Yan, Dong-Ming
收藏  |  浏览/下载：246/0  |  提交时间：2021/01/07
Circle detection  Inscribed triangle  Parameter estimation  Hough transform  
Composite Learning Enhanced Robot Impedance Control 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 1052-1059
作者:  Sun, Tairen;  Peng, Liang;  Cheng, Long;  Hou, Zeng-Guang;  Pan, Yongping
收藏  |  浏览/下载：260/0  |  提交时间：2020/06/02
Impedance  Convergence  Robots  Stability criteria  Uncertainty  Parameter estimation  Adaptive control  composite adaptation  impedance control  learning control  parameter convergence  robot  
Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2410-2418
作者:  Chen, Guang-Yong;  Gan, Min;  Ding, Feng;  Chen, C. L. Philip
收藏  |  浏览/下载：252/0  |  提交时间：2019/12/16
Data fitting  modified Gram-Schmidt (MGS)  parameter estimation  separable nonlinear least-squares problem  variable projection (VP)  
Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development 期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9, 期号: 1688, 页码: 1-17
作者:  Kang, Mengzhen;  Hua, Jing;  Wang, Xiujuan;  de Reffye, Philippe;  Jaeger, Marc;  Akaffou, Selastique
浏览  |  Adobe PDF(3548Kb)  |  收藏  |  浏览/下载：375/68  |  提交时间：2019/07/12
greenlab  inverse method  source-sink parameters  functional-structural plant model  stochastic development  parameter estimation  
A Two-Stage Estimation Algorithm Based on Variable Projection Method for GPS Positioning 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2018, 卷号: 67, 期号: 11, 页码: 2518-2525
作者:  Chen, Guang-Yong;  Gan, Min;  Chen, C. L. Philip;  Chen, Long
收藏  |  浏览/下载：251/0  |  提交时间：2019/01/08
Global navigation satellite systems (GNSSs)  least squares method  parameter estimation  variable projection (VP)  
Application of a probabilistic model for analysing the abortion of seeds and pods in winter oilseed rape (Brassica napus) 期刊论文
Annals of Applied Biology, 2014, 卷号: 165, 期号: 3, 页码: 414-428
作者:  Wang, Xiujuan;  Mathieu, A.;  De Reffye, P.;  Cournède, P.H.;  Zhang, B.G.
浏览  |  Adobe PDF(779Kb)  |  收藏  |  浏览/下载：334/62  |  提交时间：2016/04/13
Parameter Estimation  Probabilistic Model  Seed And Pod Production  Winter Oilseed Rape  
Bayesian learning, global competition and unsupervised image segmentation 期刊论文
PATTERN RECOGNITION LETTERS, 2000, 卷号: 21, 期号: 2, 页码: 107-116
作者:  Guo, GD;  Ma, SD
收藏  |  浏览/下载：138/0  |  提交时间：2015/11/08
Bayesian Learning  Global Competition  Unsupervised Image Segmentation  Markov Random Field  Parameter Estimation