机构

• 武汉岩土力学研究所 [5]
• 成都山地灾害与环境研... [1]
• 长春光学精密机械与物... [1]
• 海洋研究所 [1]
• 西安光学精密机械研究... [1]
• 烟台海岸带研究所 [1]
• 更多

采集方式

• OAI收割 [11]

内容类型

• 期刊论文 [9]
• 会议论文 [2]

发表日期

• 2023 [2]
• 2021 [1]
• 2018 [1]
• 2016 [2]
• 2015 [1]
• 2013 [3]
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学科主题

• Fisheries [1]
• Marine & F... [1]

筛选

浏览/检索结果: 共11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 Back analysis of geomechanical parameters for rock mass under complex geological conditions using a novel algorithm 期刊论文  OAI收割 TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2023, 卷号: 136, 页码: 13 作者:  Li, Hui;  Chen, Weizhong   |  收藏  |  浏览/下载：5/0  |  提交时间：2025/06/27 Back analysis  Geomechanical parameters  Particle swarm optimization  Support vector machine  Tunnel   Research on two assembling methods of 650 mm SiC lightweight mirror 会议论文  OAI收割 Shenzhen, China, 2023-08-04 作者:  Wang Tao, Ren;  Peng, Wang   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/02/28 center support  back support  quantitative reflection  simulation analysis   Backward automatic calibration for three-dimensional landslide models 期刊论文  OAI收割 GEOSCIENCE FRONTIERS, 2021, 卷号: 12, 期号: 1, 页码: 231-241 作者:  Titti Giacomo;  Bossi Giulia;  Zhou Gordon G. D.;  Marcato Gianluca;  Pasuto Alessandro   |  收藏  |  浏览/下载：45/0  |  提交时间：2021/02/01 Automatic landslide modelling  FLAC3D (TM)  Back-analysis  Optimization  Decision Support System   Back-propagation neural network and support vector machines for gold mineral prospectivity mapping in the Hatu region, Xinjiang, China 期刊论文  OAI收割 EARTH SCIENCE INFORMATICS, 2018, 卷号: 11, 期号: 4, 页码: 553-566 作者:  Zhang, Nannan;  Zhou, Kefa;  Li, Dong   |  收藏  |  浏览/下载：28/0  |  提交时间：2020/07/08 Mineral prospectivity mapping  Back propagation neural network  Support vector machines  Weight of evidence   Identifying geomechanical parameters of high cut rock slopes by an improved multi-output support vector machine method 期刊论文  OAI收割 ENVIRONMENTAL EARTH SCIENCES, 2016, 卷号: 75, 期号: 8, 页码: - 作者:  Li, Shaojun;  Zhao, Hongbo;  Ru, Zhongliang;  Sun, Qiancheng;  Li, Jiajian   |  收藏  |  浏览/下载：26/0  |  提交时间：2018/06/05 Rock slope  Back analysis  Multi-output support vector machine (MSVM)  Artificial bee colony algorithm (ABC)   Probabilistic back analysis based on Bayesian and multi-output support vector machine for a high cut rock slope 期刊论文  OAI收割 ENGINEERING GEOLOGY, 2016, 卷号: 203, 页码: 178-190 作者:  Ru, Zhongliang;  Li, Shaojun;  Zhao, Hongbo;  Sun, Qiancheng   |  收藏  |  浏览/下载：20/0  |  提交时间：2018/06/05 Rock slope  Probabilistic back analysis  Bayesian theory  Multi-output support vector machine   Probabilistic back analysis for geotechnical engineering based on Bayesian and support vector machine 期刊论文  OAI收割 JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2015, 卷号: 22, 期号: 12, 页码: 4778-4786 作者:  Chen Bing-rui;  Zhao Hong-bo;  Ru Zhong-liang;  Li Xian   |  收藏  |  浏览/下载：12/0  |  提交时间：2018/06/05 geotechnical engineering  back analysis  uncertainty  Bayesian theory  least square method  support vector machine (SVM)   Automate fry counting using computer vision and multi-class least squares support vector machine 期刊论文  OAI收割 AQUACULTURE, 2013, 卷号: 380, 页码: 91-98 作者:   收藏  |  浏览/下载：66/0  |  提交时间：2014/07/17 Back propagation neural network  Least squares support vector machine  Computer vision  Fry counting   Comparison of random forest, support vector machine and back propagation neural network for electronic tongue data classification: Application to the recognition of orange beverage and Chinese vinegar 期刊论文  OAI收割 SENSORS AND ACTUATORS B-CHEMICAL, 2013, 卷号: 177, 页码: 970-980 作者:  Liu, Miao;  Wang, Mingjun;  Wang, Jun;  Li, Duo 收藏  |  浏览/下载：30/0  |  提交时间：2016/06/22 Random forest  Support vector machine  Back propagation neural network  Pattern recognition  Classification  Electronic tongue   Structural design of primary mirror subassembly for space telescope (EI CONFERENCE) 会议论文  OAI收割 2nd International Conference on Mechatronics and Applied Mechanics, ICMAM 2012, December 8, 2012 - December 9, 2012, Taiwan 作者:  Xu H. 收藏  |  浏览/下载：71/0  |  提交时间：2013/03/25 In order to design a large aperture primary mirror with the diameter of 1150 mm  the parameters impacting on gravity deformation of the mirror were analyzed and discussed in detail  including material selection  diameter-thickness ratio  the number of the support points  location selection and lightweight structure  etc. A novel space mirror structure system was put forward  and its back was opened and supported by six points on back. The dynamic and static and thermal characteristics were analyzed based on the finite element method. Analysis results showed the surface figure accuracy reached to RMS 14.5nm under the action of gravity load along the optical axis direction and the first-order natural frequency was 214Hz which met to the designed indexes requirements. (2013) Trans Tech Publications  Switzerland.