机构

• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
• 自动化研究所 [1]
• 水土保持研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2020 [1]
• 2018 [1]
• 2012 [1]
• 2006 [1]

学科主题

• Agricultur... [1]

筛选

浏览/检索结果: 共4条，第1-4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 A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 3, 页码: 1264-1277 作者:  Bai, Lu;  Rossi, Luca;  Cui, Lixin;  Cheng, Jian;  Hancock, Edwin R.   |  收藏  |  浏览/下载：48/0  |  提交时间：2020/03/30 Kernel  Quantum computing  Weight measurement  Image edge detection  Time series analysis  Entropy  Laplace equations  Financial networks  graph kernels  graph similarity  Jensen-Shannon divergence  quantum walks   Spatial Patterns of Relationship Between Wheat Yield and Yield Components in China 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF PLANT PRODUCTION, 2018, 卷号: 12, 期号: 1, 页码: 61-71 作者:  Yu, Q (reprint author), Univ Technol, Sch Life Sci, POB 123, Sydney, NSW 2007, Australia.;  Xiaoya Yang;  Gregory S. McMaster;  Qiang Yu;  Yu, Q (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China.   |  收藏  |  浏览/下载：20/0  |  提交时间：2018/09/25 Wheat Yield  Yield Components  Spike Number  Kernel Number  Kernel Weight  Climate Elements   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：21/0  |  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.   On the estimation of generalized Lebesgue constant and modulus of generalized singular quadrature formulas and its application 期刊论文  OAI收割 ACTA MATHEMATICA SCIENTIA, 2006, 卷号: 26, 期号: 4, 页码: 610-614 作者:  Cai Haotao;  Du Jinyuan   |  收藏  |  浏览/下载：17/0  |  提交时间：2018/07/30 Cauchy kernel  Dini conditions  generalized Jacobi weight