机构

• 长春光学精密机械与物... [3]
• 力学研究所 [2]
• 地理科学与资源研究所 [2]
• 自动化研究所 [2]
• 计算技术研究所 [1]
• 沈阳自动化研究所 [1]
• 更多

采集方式

• OAI收割 [13]

内容类型

• 期刊论文 [8]
• 会议论文 [5]

发表日期

• 2022 [2]
• 2021 [1]
• 2020 [1]
• 2019 [2]
• 2017 [3]
• 2012 [1]
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学科主题

• Automation... [1]
• Automation... [1]
• Informatio... [1]

筛选

浏览/检索结果: 共13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 Influence of legacy soil map accuracy on soil map updating with data mining methods 期刊论文  OAI收割 GEODERMA, 2022, 卷号: 416, 页码: 12 作者:  Liu, Xueqi;  Zhu, A-Xing;  Yang, Lin;  Pei, Tao;  Qi, Feng   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/09/21 Digital soil mapping  Machine learning  Map accuracy  Updating conventional soil map  SoLIM  Soil-landscape model   Influence of legacy soil map accuracy on soil map updating with data mining methods 期刊论文  OAI收割 GEODERMA, 2022, 卷号: 416, 页码: 12 作者:  Liu, Xueqi;  Zhu, A-Xing;  Yang, Lin;  Pei, Tao;  Qi, Feng   |  收藏  |  浏览/下载：33/0  |  提交时间：2022/09/21 Digital soil mapping  Machine learning  Map accuracy  Updating conventional soil map  SoLIM  Soil-landscape model   Automatic Detection and Location of Weld Beads With Deep Convolutional Neural Networks 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 12 作者:  Yang, Lei;  Fan, Junfeng;  Liu, Yanhong;  Li, En;  Peng, Jinzhu   |  收藏  |  浏览/下载：79/0  |  提交时间：2021/03/08 Data augmentation  deep convolutional network model  object location  samples updating  semantic segmentation  weld bead   Nonprobabilistic uncertain model updating and optimization design of thermal protection system 期刊论文  OAI收割 APPLIED THERMAL ENGINEERING, 2020, 卷号: 180, 页码: 14 作者:  Jiang WT;  Wang XJ;  Wang RX(王睿星);  Shi QH;  Zhu JJ   |  收藏  |  浏览/下载：51/0  |  提交时间：2020/11/30 Thermal protection system  Nonprobabilistic optimization  Sensitivity analysis  Uncertainty analysis  Model updating   Incremental Updating Multirobot Formation Using Nonlinear Model Predictive Control Method With General Projection Neural Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 6, 页码: 4502-4512 作者:  Xiao, Hanzhen   |  收藏  |  浏览/下载：61/0  |  提交时间：2019/07/12 General projection neural network (GPNN)  incremental updating method  multirobot formation control  nonlinear model predictive control (NMPC)   An interval updating model for composite structures optimization 期刊论文  OAI收割 COMPOSITE STRUCTURES, 2019, 卷号: 209, 页码: 177-191 作者:  Shi QH;  Wang XJ;  Wang RX(王睿星);  Chen X;  Ma YJ   |  收藏  |  浏览/下载：58/0  |  提交时间：2019/04/11 Composite structural design  Model updating  Uncertainty  Progressive failure analysis   Object Tracking Using Multiple Features and Adaptive Model Updating 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2017, 卷号: 66, 期号: 11, 页码: 2882-2897 作者:  Hu, Qingyong;  Guo, Yulan;  Lin, Zaiping;  An, Wei;  Cheng, Hongwei   |  收藏  |  浏览/下载：36/0  |  提交时间：2019/12/12 Adaptive model updating  correlation filters  multiple feature integration  object tracking   Finite Element Model Updating Based on Sensitivity Analysis for 5-DOF Manipulator 会议论文  OAI收割 3rd IEEE Information Technology and Mechatronics Engineering Conference (ITOEC), Chongqing, PEOPLES R CHINA, October 3-5, 2017 作者:  Yu, Min;  Liu GM(刘广明);  Fu J(富佳);  Luo HT(骆海涛)   |  收藏  |  浏览/下载：24/0  |  提交时间：2018/02/24 Manipulator  Modal analysis  Modal test  Model updating   Finite Element Model Updating Based on Sensitivity Analysis for 5-DOF Manipulator 会议论文  OAI收割 Chongqing, PEOPLES R CHINA, 2017-10-03 作者:  Fu, Jia;  Luo, Haitao;  Yu, Min;  Liu, Guangming;  Luo, HT (reprint author), Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang, Liaoning, Peoples R China.   |  收藏  |  浏览/下载：25/0  |  提交时间：2018/03/06 Manipulator  Modal Analysis  Modal Test  Model Updating   Image matching using a bat algorithm with mutation (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Mechatronic Systems and Automation Systems, MSAS 2012, July 21, 2012 - July 21, 2012, Wuhan, China 作者:  Zhang J.;  Wang G.;  Zhang J.;  Zhang J. 收藏  |  浏览/下载：40/0  |  提交时间：2013/03/25 Due to shortcoming of traditional image matching for computing the fitness for every pixel in the searching space  a new bat algorithm with mutation (BAM) is proposed to solve image matching problem  and a modification is applied to mutate between bats during the process of the new solutions updating. This new approach can accelerate the global convergence speed while preserving the strong robustness of the basic BA. The realization procedure for this improved meta-heuristic approach BAM is also presented. To prove the performance of this proposed meta-heuristic method  BAM is compared with BA and other population-based optimization methods  DE and SGA. The experiment shows that the proposed approach is more effective and feasible in image matching than the other model. (2012) Trans Tech Publications  Switzerland.