机构

• 自动化研究所 [2]
• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
• 近代物理研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2020 [1]
• 2011 [2]
• 2009 [1]
• 2001 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5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 Relaxed Stability Criteria for Neural Networks With Time-Varying Delay Using Extended Secondary Delay Partitioning and Equivalent Reciprocal Convex Combination Techniques 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4157-4169 作者:  Wang, Shenquan;  Ji, Wenchengyu;  Jiang, Yulian;  Liu, Derong   |  收藏  |  浏览/下载：49/0  |  提交时间：2021/01/07 Delays  Asymptotic stability  Artificial neural networks  Linear matrix inequalities  Stability criteria  Automation  Equivalent reciprocal convex combination  extended secondary delay partitioning  global asymptotic stability  neural networks (NNs)  time-varying delay   Shortest path and maximum flow problems in networks with additive losses and gains 期刊论文  OAI收割 THEORETICAL COMPUTER SCIENCE, 2011, 卷号: 412, 期号: 4-5, 页码: 391-401 作者:  Brandenburg, Franz J.;  Cai, Mao-cheng   |  收藏  |  浏览/下载：18/0  |  提交时间：2018/07/30 Extended networks  Lossy and gainy arcs  Max-flow problems  Shortest path problems  NP-hard problems  Unit-loss networks   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：32/0  |  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.   Intrinsically organized network for face perception during the resting state 期刊论文  OAI收割 NEUROSCIENCE LETTERS, 2009, 卷号: 454, 期号: 1, 页码: 1-5 作者:  Zhang, Hui;  Tian, Jie;  Liu, Jiangang;  Li, Jun;  Lee, Kang 收藏  |  浏览/下载：12/0  |  提交时间：2015/08/12 Resting-state  Face processing  Core and extended networks  fMRI   Adaptive training and pruning for neural networks: algorithms and application 期刊论文  OAI收割 ACTA PHYSICA SINICA, 2001, 卷号: 50, 页码: 674-681 作者:  Chen, S;  Chang, SJ;  Yuan, JH;  Zhang, YX;  Wong, KW   |  收藏  |  浏览/下载：16/0  |  提交时间：2018/05/31 neural networks  pattern recognition  extended Kalman filtering  pruning