中国科学院机构知识库网格
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浏览/检索结果: 共6条,第1-6条 帮助

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Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System 期刊论文  OAI收割
IEEE Transactions on Cybernetics, 2021, 页码: 1-14
作者:  
Ma LB(马连博);  Li, Nan;  Guo, Yinan;  Wang XW(王兴伟);  Yang, Shengxiang
  |  收藏  |  浏览/下载:73/0  |  提交时间:2021/08/03
Future Projection with an Extreme-Learning Machine and Support Vector Regression of Reference Evapotranspiration in a Mountainous Inland Watershed in North-West China 期刊论文  iSwitch采集
WATER, 2017, 卷号: 9, 期号: 11, 页码: 23
作者:  
Yin, Zhenliang;  Feng, Qi;  Yang, Linshan;  Deo, Ravinesh C.;  Wen, Xiaohu
收藏  |  浏览/下载:47/0  |  提交时间:2019/10/09
Integrating genetic algorithm and support vector machine for modeling daily reference evapotranspiration in a semi-arid mountain area 期刊论文  iSwitch采集
HYDROLOGY RESEARCH, 2017, 卷号: 48, 期号: 5, 页码: 1177-1191
作者:  
Yin, Zhenliang
收藏  |  浏览/下载:47/0  |  提交时间:2019/10/09
Support-Vector-Machine-Based Models for Modeling Daily Reference Evapotranspiration With Limited Climatic Data in Extreme Arid Regions 期刊论文  OAI收割
WATER RESOURCES MANAGEMENT, 2015, 卷号: 29, 期号: 9, 页码: 3195-3209
作者:  
Wen, Xiaohu;  Si, Jianhua;  He, Zhibin;  Wu, Jun;  Shao, Hongbo
收藏  |  浏览/下载:40/0  |  提交时间:2015/07/30
Comparison of initial alignment methods for SINS 会议论文  OAI收割
2011 9th World Congress on Intelligent Control and Automation (WCICA 2011), Taipei, Taiwan, June 21-25 2011
作者:  
Zhao HY(赵红宇);  Shang H(尚红);  Wang ZL(王哲龙);  Jiang M(姜鸣)
收藏  |  浏览/下载:25/0  |  提交时间:2012/12/28
Method of improving the accuracy of image motion measurement for panoramic aerial cameras (EI CONFERENCE) 会议论文  OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, April 26, 2010 - April 29, 2010, Dalian, China
作者:  
Jia P.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
To improve the accuracy of image motion measurement for panoramic aerial cameras  the paper proposed a method of real-time image motion measurement based on 2D spatial correlation. An auxiliary area CCD is positioned paralleled to the main linear TDI CCD in the focal plane of the camera. For every frame of the image sequence taken by the auxiliary CCD  a prediction on the displacement of the current image in the flight direction is made based on the forward image motion velocity. The current and the reference images are combined together for 2D-correlation  which products an image motion vector. By decomposing the vector  both the forward and pendulum-swing image motions can be determined. The demanding computational requirements for the real-time 2D-correlation are covered by a joint transform optical correlator. Simulation test results show that the accuracy is improved and the measurement error is within 0.2 pixels for input images with SNR=1 dB. 2010 Copyright SPIE - The International Society for Optical Engineering.