中国开放科研知识云: 检索

验证码:

换一张

忘记密码？记住我

取消登录

CORC

首页
科研机构
检索
知识图谱
申请加入
托管服务

在结果中检索

科研机构

湖南大学 [27]

内容类型

期刊论文 [22]

会议论文 [5]

发表日期

知识图谱

CORC

已提交作品

待认领作品

已认领作品

未提交全文

浏览/检索结果: 共27条，第1-10条

帮助

限定条件	专题：湖南大学第一署名单位第一作者单位通讯作者单位

已选(0)清除条数/页：排序方式：
	A novel recurrent neural network and its finite-time solution to time-varying complex matrix inversion 期刊论文 NEUROCOMPUTING, 2019, 卷号: Vol.331, 页码: 483-492 作者: Xiao, L; Zhang, YS; Li, KL; Liao, BL; Tan, ZG 收藏 \| 浏览/下载：110/0 \| 提交时间：2019/12/13 Complex matrix inversion Zhang neural network Nonlinear evolution formula Finite-time convergence
	Exponential Stability of Positive Recurrent Neural Networks with Multi-proportional Delays 期刊论文 Neural Processing Letters, 2019, 卷号: Vol.49 No.1, 页码: 67-78 作者: Gang Yang 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/12/13 Positive recurrent neural network Generalized exponential stability Proportional delay
	An Improved Complex-Valued Recurrent Neural Network Model for Time-Varying Complex-Valued Sylvester Equation 期刊论文 IEEE Access, 2019, 卷号: Vol.7, 页码: 19291-19302 作者: Lei Ding; Lin Xiao; Kaiqing Zhou; Yonghong Lan; Yongsheng Zhang 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/13 Mathematical model Convergence Numerical models Trajectory Recurrent neural networks Information science Zhang neural network complex-valued time-varying Sylvester equation convergence speed sign-multi-power function finite-time convergence
	Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion 期刊论文 IEEE Access, 2019, 卷号: Vol.7, 页码: 33434-33440 作者: Zhiguo Tan; Yueming Hu; Lin Xiao; Ke Chen 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/13 Robots Robustness Analytical models Economic indicators Convergence Upper bound Recurrent neural networks Recurrent neural network time-varying matrix pseudo-inversion robustness analysis robotic application
	A novel recurrent neural network and its finite-time solution to time-varying complex matrix inversion. 期刊论文 Neurocomputing, 2019, 卷号: Vol.331, 页码: 483-492 作者: Xiao, Lin; Zhang, Yongsheng; Li, Kenli; Liao, Bolin; Tan, Zhiguo 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/13 Complex matrix inversion Finite-time convergence Nonlinear evolution formula Zhang neural network
	Wi-Multi: A Three-Phase System for Multiple Human Activity Recognition With Commercial WiFi Devices 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2019, 卷号: Vol.6 No.4, 页码: 7293-7304 作者: Feng, CH; Arshad, S; Zhou, SW; Cao, D; Liu, YH 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/17 Activity recognition channel state information (CSI) recurrent neural network (RNN)
	An Improved Complex-Valued Recurrent Neural Network Model for Time-Varying Complex-Valued Sylvester Equation 期刊论文 IEEE ACCESS, 2019, 卷号: Vol.7, 页码: 19291-19302 作者: Ding, L; Xiao, L; Zhou, KQ; Lan, YH; Zhang, YS 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/17
	A novel recurrent neural network and its finite-time solution to time-varying complex matrix inversion 期刊论文 Neurocomputing, 2019, 卷号: Vol.331, 页码: 483-492 作者: Lin Xiao; Yongsheng Zhang; Kenli Li; Bolin Liao; Zhiguo Tan 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/13 Complex matrix inversion Zhang neural network Nonlinear evolution formula Finite-time convergence
	Classification of Widely and Rarely Expressed Genes with Recurrent Neural Network. 期刊论文 Computational and structural biotechnology journal, 2019, 卷号: Vol.17, 页码: 49-60 作者: Chen Lei; Pan XiaoYong; Zhang Yu-Hang; Liu Min; Huang Tao 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/13 Enrichment theory Incremental feature selection Minimum redundancy maximum relevance Rarely expressed gene Recurrent neural network Widely expressed gene
	A New RNN Model With a Modified Nonlinear Activation Function Applied to Complex-Valued Linear Equations 期刊论文 IEEE ACCESS, 2018, 卷号: Vol.6, 页码: 62954-62962 作者: Ding, L; Xiao, L; Zhou, KQ; Lan, YH; Zhang, YS 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/26 Recurrent neural network convergence rate finite time complex-valued systems of linear equation novel nonlinear activation function

相关链接
欧盟学术资源开放存取平台
CALIS高校机构知识库
台湾学术机构典藏
香港机构知识库整合系统
中国科学院机构知识库网格系统

CORC
关于我们
服务条款
隐私条款

联系我们
0931-8270076
cspace@llas.ac.cn
China-OR

中文简体

©版权所有 ©2017 CSpace - Powered by CSpace