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浏览/检索结果: 共19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-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：21/0  |  提交时间：2020/07/08 Mineral prospectivity mapping  Back propagation neural network  Support vector machines  Weight of evidence   Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision CNKI期刊论文  OAI收割 2015 作者:  Liu H(刘辉);  Xu Q(许强);  Liu SL(刘石林);  Zhang LB(张立斌);  Yang HS(杨红生)   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/12/18 Apostichopus japonicas  wet weight  computer vision  support vector machine   Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision 期刊论文  OAI收割 CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2015, 卷号: 33, 期号: 1, 页码: 114-120 作者:  Liu Hui;  Xu Qiang;  Liu Shilin;  Zhang Libin;  Yang Hongsheng 收藏  |  浏览/下载：24/0  |  提交时间：2015/06/15 Apostichopus japonicas  wet weight  computer vision  support vector machine   Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文  OAI收割 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China 作者:  Gao X.;  Yu P.;  Yu P. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 Support Vector Machine (SVM) is used to classify hyperspectral remote sensing image in this paper. Radial Basis Function (RBF)  which is most widely used  is chosen as the kernel function of SVM. Selection of kernel function parameter is a pivotal factor which influences the performance of SVM. For this reason  Particle Swarm Optimization (PSO) is provided to get a better result. In order to improve the optimization efficiency of kernel function parameter  firstly larger steps of grid search method is used to find the appropriate rang of parameter. Since the PSO tends to be trapped into local optimal solutions  a weight and mutation particle swam optimization algorithm was proposed  in which the weight dynamically changes with a liner rule and the global best particle mutates per iteration to optimize the parameters of RBF-SVM. At last  a 220-bands hyperspectral remote sensing image of AVIRIS is taken as an experiment  which demonstrates that the method this paper proposed is an effective way to search the SVM parameters and is available in improving the performance of SVM classifiers. 2012 IEEE.   Optimization analysis for radial support by finite elements method (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Intelligent System and Applied Material, GSAM 2012, January 13, 2012 - January 15, 2012, Taiyuan, Shanxi, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Li C.;  Wang Y. 收藏  |  浏览/下载：25/0  |  提交时间：2013/03/25 Primary mirror' surface figure is affected by supporting structure obviously. Especially for large-aperture telescope  the surface figure is significant because of primary mirror' self-weight. For the requirement of the usage  it's necessary to minimize the surface figure from self-weight by reasonable supporting scheme. The text optimized support point and force of radial support to minimize the surface figure by finite-element software. At the same time  it studied the relationship between support point and counterweight to reduce the weight of support structure. At last  it gave the optimal solution. (2012) Trans Tech Publications.   基于动态项集计数的加权频繁项集算法 期刊论文  OAI收割 Computer Engineering, 2012, 卷号: 38, 期号: 3, 页码: 31-33 秦丽君; 罗雄飞   |  收藏  |  浏览/下载：16/0  |  提交时间：2012/11/12 data mining  weighted frequent itemset mining  dynamic itemset counting  weighted support degree  weighted trie tree  downward closure property  maximum weight   Structure optimization of strap-down inertial navigation system support (EI CONFERENCE) 会议论文  OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China 作者:  Wang J. 收藏  |  浏览/下载：31/0  |  提交时间：2013/03/25 In order to meet the requirement of inertial navigation components and minimizing the system's weight  and topological optimization was conducted. Then  topological optimization and size optimization were conducted under conditions of random vibration and impact. Firstly  according to the dynamic characteristics of missile and requirement of inertial navigation system  the structure of inertial navigation support was designed according to types of missile connection and space arrangement of electronic components  the method of transforming multi-loading cases to multi-loading constraints was used to optimizing the size of the support under conditions of random vibration and impact. Comparing to the original support structures  RMS accelerations in installed points reduced by 25.2% under random vibration  the weight of optimal structures reduced by 28.1%  the structures also met the requirement of inertial navigation system under condition of impact. The support structure shows improvements in both dynamic characteristic and light weight comparing with the original one. 2011 IEEE.   A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 3, 页码: 7,2253-2259 Liu, JL; Li, JP; Xu, WX; Shi, Y 收藏  |  浏览/下载：27/0  |  提交时间：2012/11/12 Least squares support vector machine  Weight  Adaptive penalty  Classification  Robust  Sparse   建筑物场景宽基线图像的匹配扩散研究 学位论文  OAI收割 工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2010 陈占军 收藏  |  浏览/下载：37/0  |  提交时间：2015/09/02 准稠密匹配  宽基线图像  最大稳定极值区域  仿射传递  自适应支持加权  Quasi-dense matching  wide baseline images  MSERDoG  affine propagation  Adaptive Support Weight   Identifying translation initiation sites in prokaryotes using support vector machine 期刊论文  OAI收割 JOURNAL OF THEORETICAL BIOLOGY, 2010, 卷号: 262, 期号: 4, 页码: 644-649 作者:  Gao, Tingting;  Yang, Zhixia;  Wang, Yong;  Jing, Ling   |  收藏  |  浏览/下载：23/0  |  提交时间：2018/07/30 Translation initiation site prediction  Support vector machine  Position specific weight matrix