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浏览/检索结果: 共27条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Contrasting characteristics and drivers of dry and warm snow droughts in China 's largest inland river basin 期刊论文  OAI收割 JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2024, 卷号: 53, 页码: 25 作者:  Wang, Zhixia;  Huang, Shengzhi;  Singh, Vijay P.;  Mu, Zhenxia;  Leng, Guoyong   |  收藏  |  浏览/下载：24/0  |  提交时间：2024/07/24 Dry-type and warm-type snow droughts  Snow drought characteristics and dynamics  Optimal parameters-based geographical detec-tor model  Random forest  Ocean-atmosphere couplings strength   Numerical Simulation of Failure Behavior of Brittle Heterogeneous Rock under Uniaxial Compression Test 期刊论文  OAI收割 MATERIALS, 2022, 卷号: 15, 期号: 19, 页码: 17 作者:  Liu, Jia;  Ma, Fengshan;  Guo, Jie;  Zhou, Tongtong   |  收藏  |  浏览/下载：31/0  |  提交时间：2023/04/03 heterogeneous rock  Weibull distribution  optimal combination of micro-parameters  failure mode  heterogeneous specimen with discontinuities   Optimization of the Physical and Mechanical Properties of Grouting Material for Non-Soil-Squeezing PHC Pipe Pile 期刊论文  OAI收割 CRYSTALS, 2022, 卷号: 12, 期号: 1, 页码: 21 作者:  Hou, Zhenkun;  Tang, Mengxiong;  Liang, Shihua;  Zhu, Yi   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/04/11 non-soil-squeezing PHC pipe pile  grouting material  orthogonal test  optimal ratio  physical and mechanical parameters  variance analysis and range analysis   Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach CNKI期刊论文  OAI收割 2020 作者:  GAO Yongli;  MU Mu;  ZHANG Kun   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/12/18 deep chlorophyll maximum(DCM) simulation  parameter uncertainty  conditional nonlinear optimal perturbation related to parameters(CNOP-P)  sensitivity   Complete kinematic calibration of a 6-RRRPRR parallel kinematic machine based on the optimal measurement configurations 期刊论文  OAI收割 Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, 2019, 卷号: 234, 期号: 1, 页码: 121-136 作者:  C.Y.Han;  Y.Yu;  Z.B.Xu;  X.M.Wang;  P.Yu   |  收藏  |  浏览/下载：35/0  |  提交时间：2020/08/24 Parallel kinematic machine,complete error model,observability index,optimal measurement configurations,calibration experiment,identifiable parameters,robot calibration,stiffness,design   The preconditioned iterative methods with variable parameters for saddle point problem 期刊论文  OAI收割 APPLIED MATHEMATICS AND COMPUTATION, 2018, 卷号: 334, 页码: 152-167 作者:  Huang, Na;  Ma, Chang-Feng   |  收藏  |  浏览/下载：24/0  |  提交时间：2018/07/30 Saddle point problem  Preconditioned iterative method  Variable parameters  Optimal parameter  Convergence   Configuration optimization and kinematic analysis of a wearable exoskeleton arm 会议论文  OAI收割 2017 International Conference on Robotics and Automation Sciences, ICRAS 2017, Hong Kong, Hong kong, August 26-29, 2017 作者:  Wang, Xuelin;  Ding QC(丁其川);  Xiao, Yongfei;  Zhu, Yunhai;  Zhao, Yongguo   |  收藏  |  浏览/下载：26/0  |  提交时间：2018/01/15 s-wearable exoskeleton robots  design parameters  optimal configuration  singularity  workspace   Finite Element Analysis on the Effect of Yarn Reinforcement Distribution on the Tensile Behavior of Unidirectional Composite 会议论文  OAI收割 Wuhan Text Univ, Wuhan, PEOPLES R CHINA, MAY 16-19, 2017 作者:  Wang, K;  Ma, Q;  Wang, SD;  Zhao, JM;  Jin, LM   |  收藏  |  浏览/下载：27/0  |  提交时间：2019/12/31 OPTIMAL MECHANICAL-PROPERTIES  FIBER VOLUME FRACTION  PROCESS PARAMETERS  INTERFACES  QUALITY  DESIGN   Supplemental sampling for digital soil mapping based on prediction uncertainty from both the feature domain and the spatial domain SCI/SSCI论文  OAI收割 2016 作者:  Li Y.;  Zhu, A. X.;  Shi, Z.;  Liu, J.;  Du, F.   |  收藏  |  浏览/下载：27/0  |  提交时间：2017/11/09 Prediction uncertainty  Supplemental sampling  Feature domain  Spatial  domain  Digital soil mapping  optimal interpolation  constrained optimization  design  variables  classification  attributes  parameters  variogram  schemes   Reentry guidance based on parametric optimization (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Mechatronics and Control Engineering, ICMCE 2012, November 29, 2012 - November 30, 2012, Guangzhou, China 作者:  Li D. 收藏  |  浏览/下载：161/0  |  提交时间：2013/03/25 This paper presents a parametric optimization approach to solve reentry guidance. Due to the various constraints imposed on the trajectory  original guidance problem can be converted into an optimal control problem with a merit function to be minimized. Direct implementation of method of variation and is too complex to get a reasonable result  while a numerical parametric optimization approach is feasible and efficient if we choose appropriate control variables as the optimization parameters and effective optimization algorithm. A simulation of the approach is performed to show its validity on reentry guidance problem: as the value of merit function converges to acceptable threshold  all constraints are hold. (2013) Trans Tech Publications  Switzerland.