中国科学院机构知识库网格系统: 检索

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	Lightweighting the prediction process of urban states with parameter sharing and dilated operations 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2025, 卷号: 18, 期号: 1, 页码: 2468414 作者: Wang, Peixiao; Yang, Haolong; Zhang, Hengcai; Cheng, Shifen; Lu, Feng \| 收藏 \| 浏览/下载：43/0 \| 提交时间：2025/03/18 Urban states spatio-temporal prediction dilated operation parameter sharing hyper-parameter dependence
	FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space 期刊论文 OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 7, 页码: 1174-1188 作者: Li, Xiaqing; Guo, Qi; Zhang, Guangyan; Ye, Siwei; He, Guanhua \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2024/12/06 Deep learning distributed hyper-parameter tuning (HPT) system parallel computing
	A State-Migration Particle Swarm Optimizer for Adaptive Latent Factor Analysis of High-Dimensional and Incomplete Data 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 11, 页码: 2220-2235 作者: Jiufang Chen; Kechen Liu; Xin Luo; Ye Yuan; Khaled Sedraoui \| 收藏 \| 浏览/下载：6/0 \| 提交时间：2024/10/09 Data science generalized momentum high-dimensional and incomplete (HDI) data hyper-parameter adaptation latent factor analysis (LFA) particle swarm optimization (PSO)
	Hyper-parameter optimization for improving the performance of localization in an iterative ensemble smoother 期刊论文 OAI收割 GEOENERGY SCIENCE AND ENGINEERING, 2023, 卷号: 231, 页码: 20 作者: Luo, Xiaodong; Cruz, William C.; Zhang, Xin-Lei; Xiao, Heng \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2024/01/08 Ensemble data assimilation Iterative ensemble smoother (IES) Automatic and adaptive localization (AutoAdaLoc) Parameterized localization Continuous hyper-parameter OPtimization (CHOP)
	Support Vector Machines Based Methodology for Credit Risk Analysis 专著章节/文集论文 OAI收割出自: Handbook of Financial Econometrics, Mathematics, Statistics, and Technology, Singapore, Singapore:World Scientific, World Scientific, 2020 作者: Jianping Li; Mingxi Liu; Cheng-Few Lee; Dengsheng Wu \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/01/26 Support Vector Machines Feature Extraction Kernel Function Selection Hyper-Parameter Optimization Credit Risk Classification Support Vector Machines Feature Extraction Kernel Function Selection Hyper-Parameter Optimization Credit Risk Classification
	An adaptive pointwise P-norm regularization for image deconvolution 会议论文 OAI收割 Jeju Island, Korea, 2019年4月23日作者: Binbin, Ma; Xiyuan, Hu; Silong, Peng \| 收藏 \| 浏览/下载：55/0 \| 提交时间：2019/05/10 Image Deblurring Non-parametric Pointwise P-norm Hyper-parameter
	Study on navigation control method for CyberCar based on machine vision (EI CONFERENCE) 会议论文 OAI收割 2007 IEEE International Conference on Robotics and Biomimetics, ROBIO, December 15, 2007 - December 18, 2007, Yalong Bay, Sanya, China Zhang R.-H.; Wang R.-B.; You F.; Jia H.-G.; Chen T. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 The guiding principle and composition of CyberCar based on machine vision was introduced. Applying IM sequence signals as input response signals and least squares method to establish the dynamic equation for CyberCar steering system by system identification experiments firstly and then combined with the preview kinematics model and two-degree steering dynamic model of vehicle. Therefore it can trace the path steadily and reliably. 2008 IEEE. the steering control mathematics model based on preview kinematics for CyberCar was established. And then the switching hyper plane is designed by applying the optimal control theory during the change of the curve curvature radius is little the curve tracking of the intelligent vehicle is carried out by adopting sliding variable structure controller. Aim at the parameter uncertainty of tire a vehicle steering system uncertain model was founded and analyzed. A H optimal controller is designed with the method of H control theory to solve the problem about model uncertainty. The simulation and experiment results show that the controller designed by the proposed method has good robustness and adaptability
	Dynamics simulation on control technology for 4WS vehicle steering performance (EI CONFERENCE) 会议论文 OAI收割 ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China Rong-Hui Z.; Hong-Guang J.; Tao C. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 By combining visual preview kinematics dynamic equation of steering system and 2-DOF steering dynamistic model of 4WS it can easily attenuate the change and uncertainty of model. 2008 IEEE. we establish the two degree of freedom model of four-wheel steering vehicle. And then the switching hyper plane is designed by applying the optimal control theory. During the change of parameter is little 4WS steering performance is carried out by adopting sliding variable structure controller. To improve the steering performance of 4WS especially state variables convergent velocity Kalman filter for 4WS is designed. And the robust optimal controller is designed for model and parameter is uncertainty. The simulation results show that the controller designed by the proposed method has good robustness