中国科学院重庆绿色智能技术研究院机构知识库

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	Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4791-4801 作者:  Li, Shuai;  Zhou, MengChu;  Luo, Xin Adobe PDF(2696Kb)  |  收藏  |  浏览/下载：291/0  |  提交时间：2018/11/01 Dual neural network  kinematic control  redundancy resolution  robotic manipulator
	An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022 作者:  Luo, Xin;  Zhou, MengChu;  Li, Shuai;  Shang, MingSheng 收藏  |  浏览/下载：507/0  |  提交时间：2018/07/02 Big data  high-dimensional and sparse matrix  learning algorithms  missing-data estimation  nonnegative latent factor analysis  optimization methods recommender system
	Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 4, 页码: 1216-1228 作者:  Luo, Xin;  Zhou, MengChu;  Li, Shuai;  Xia, Yunni;  You, Zhu-Hong;  Zhu, QingSheng;  Leung, Hareton 收藏  |  浏览/下载：517/0  |  提交时间：2018/06/04 Big data  latent factor model  missing data prediction  quality-of-service (QoS)  second-order solver  service computing sparse matrices  Web service
	Velocity-Level Control With Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 3, 页码: 921-930 作者:  Zhang, Yinyan;  Li, Shuai;  Gui, Jie;  Luo, Xin 收藏  |  浏览/下载：232/0  |  提交时间：2018/06/04 Joint acceleration limit  manipulator  projection neural network  quadratic program (QP)  redundancy resolution
	Velocity-Level Control with Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution 期刊论文 IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 3, 页码: 921-930 作者:  Zhang, Yinyan;  Li, Shuai;  Gui, Jie;  Luo, Xin Adobe PDF(1146Kb)  |  收藏  |  浏览/下载：135/0  |  提交时间：2019/06/26
	An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications 期刊论文 IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022 作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Shang, Mingsheng Adobe PDF(805Kb)  |  收藏  |  浏览/下载：414/0  |  提交时间：2019/06/26
	Neural Dynamics for Cooperative Control of Redundant Robot Manipulators 期刊论文 IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 9, 页码: 3812-3821 作者:  Jin, Long;  Li, Shuai;  Luo, Xin;  Li, Yangming;  Qin, Bin 收藏  |  浏览/下载：399/0  |  提交时间：2020/02/18
	Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107 作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng Adobe PDF(803Kb)  |  收藏  |  浏览/下载：426/0  |  提交时间：2018/03/05 Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network
	Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 6, 页码: 4710-4720 作者:  Jin, Long;  Li, Shuai;  Hung Manh La;  Luo, Xin Adobe PDF(903Kb)  |  收藏  |  浏览/下载：3115/2  |  提交时间：2018/03/05 Dynamic neural network  kinematic control  manipulability optimization  redundancy resolution
	Highly Efficient Framework for Predicting Interactions Between Proteins 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 731-743 作者:  You, Zhu-Hong;  Zhou, MengChu;  Luo, Xin;  Li, Shuai Adobe PDF(1407Kb)  |  收藏  |  浏览/下载：218/0  |  提交时间：2018/03/15 Big data  feature extraction  kernel extreme learning machine (K-ELM)  low-rank approximation (LRA)  protein-protein interactions (PPIs)  support vector machine (SVM)