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• OAI收割 [12]

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浏览/检索结果: 共12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 Analysis and prediction of high-speed train wheel wear based on SIMPACK and backpropagation neural networks 期刊论文  OAI收割 EXPERT SYSTEMS, 2021, 卷号: 38, 期号: 7, 页码: 11 作者:  Wang, Shuwen;  Yan, Hao;  Liu, Caixia;  Fan, Ning;  Liu XM(刘小明)   |  收藏  |  浏览/下载：48/0  |  提交时间：2021/11/01 BP neural networks  high-speed train  SIMPACK  wheel wear   A Stateful Bloom Filter for Per-Flow State Monitoring 期刊论文  OAI收割 IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 卷号: 8, 期号: 2, 页码: 1399-1413 作者:  Xie, Kun;  Pei, Shuyu;  Wang, Xin;  Shi, Wen;  Xie, Gaogang   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/12/01 Monitoring  High-speed networks  Standards  IP networks  Indexes  Hash functions  Arrays  Bloom filter  per-flow state monitoring   Comparing passenger flow and time schedule data to analyse High-Speed Railways and urban networks in China 期刊论文  OAI收割 URBAN STUDIES, 2019, 卷号: 56, 期号: 6, 页码: 1267-1287 作者:  Yang, Haoran;  Dijst, Martin;  Witte, Patrick;  van Ginkel, Hans;  Wang, Jiao'e   |  收藏  |  浏览/下载：58/0  |  提交时间：2019/05/22 China  High-Speed Railways (HSR)  passenger flow  time schedule  transport  urban networks  urbanisation and developing countries   Comparing passenger flow and time schedule data to analyse High-Speed Railways and urban networks in China 期刊论文  OAI收割 URBAN STUDIES, 2019, 卷号: 56, 期号: 6, 页码: 1267-1287 作者:  Yang, Haoran;  Dijst, Martin;  Witte, Patrick;  van Ginkel, Hans;  Wang, Jiao'e   |  收藏  |  浏览/下载：16/0  |  提交时间：2019/05/22 China  High-Speed Railways (HSR)  passenger flow  time schedule  transport  urban networks  urbanisation and developing countries   Comparing passenger flow and time schedule data to analyse High-Speed Railways and urban networks in China 期刊论文  OAI收割 URBAN STUDIES, 2019, 卷号: 56, 期号: 6, 页码: 1267-1287 作者:  Yang, Haoran;  Dijst, Martin;  Witte, Patrick;  van Ginkel, Hans;  Wang, Jiao'e   |  收藏  |  浏览/下载：10/0  |  提交时间：2019/05/22 China  High-Speed Railways (HSR)  passenger flow  time schedule  transport  urban networks  urbanisation and developing countries   Drag-reduction design on high-speed trains with intelligent optimization algorithm 会议论文  OAI收割 Ajaccio, Corsica, France, 8-11 April 2014 作者:  Yang GW(杨国伟);  Yao SB(姚拴宝);  Guo DL(郭迪龙)   |  收藏  |  浏览/下载：33/0  |  提交时间：2018/11/08 Aerodynamic drag  Aerodynamics  Ant colony optimization  Computational fluid dynamics  Deformation  Design  Drag reduction  Interpolation  Iterative methods  Radial basis function networks  Railroad cars  Railroad transportation  Railroads  Aerodynamic optimization  Grid deformation  High speed train (HST)  Intelligent optimization algorithm  Kriging surrogate model   高速铁路宽带通信网络管理系统管理模式研究 期刊论文  OAI收割 计算机工程与设计, 2013, 卷号: 34, 期号: 8, 页码: 2641-2645,2674 宋鑫; 郑刚; 朱登科   |  收藏  |  浏览/下载：23/0  |  提交时间：2014/12/16 网络管理  管理模式  高速铁路  宽带通信网络  性能评估  network management  network management schemas  high-speed railway  broadband communication networks  performance evaluation   Surface modeling of DEMs based on a sequential adjustment method SCI/SSCI论文  OAI收割 2013 Chen C. F.; Li Y. Y.; Yue T. X. 收藏  |  浏览/下载：26/0  |  提交时间：2014/12/24 surface modeling  DEM  interpolation  accuracy  digital elevation models  artificial neural-networks  high-speed method  high-accuracy  spatial interpolation  density  construction  uncertainty  generation  rainfall   Research on the identification for a nonlinear system (EI CONFERENCE) 会议论文  OAI收割 International Conference on Optical, Electronic Materials and Applications 2011, OEMA 2011, March 4, 2011 - March 6, 2011, Chongqing, China 作者:  Liu J.;  Jia P.;  Liu J.;  Liu J. 收藏  |  浏览/下载：31/0  |  提交时间：2013/03/25 The characteristic of the drift error of inertial platform is a high-order nonlinear dynamic system  using the neural networks' abilities of universal approximation of differentiable trajectory and capturing system dynamic information  this paper presents the drift error identifying project of inertial platform based on Elman networks structure. First  the drift error model of inertial platform is established  after selecting the input and output for network  momentum and alterable speed algorithm is used to speed up the network convergence. On the basis of the algorithm  the extended nonlinear node function in the hidden network does not only improve the learning speed of network  but also satisfies the need of accuracy on system identification. Through the drift error data measured on inertial platform  the training result shows that the scheme achieves satisfied identification results. (2011) Trans Tech Publications.   Pricing Scheme based Nash Q-learning Flow Control for Multi-user Network 会议论文  OAI收割 International Conference on Materials, Mechatronics and Automation (ICMMA 2011), Melbourne, AUSTRALIA, JAN 15-16, 2011 作者:  Li X(李鑫);  Yu HB(于海斌) 收藏  |  浏览/下载：22/0  |  提交时间：2012/05/29 Computer simulation  Controllers  Costs  Flow control  HIgh speed networks  Mechatronics  Quality of service  Time varying networks  Traffic congestion