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Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme 期刊论文
NEUROCOMPUTING, 2019, 卷号: 339, 期号: 暂无, 页码: 116-129
作者:  Jiahao Chen;  Shanlin Zhong;  Erlong Kang;  Hong Qiao
Adobe PDF(4018Kb)  |  收藏  |  浏览/下载:385/50  |  提交时间:2019/07/12
Human-like manipulation  Musculoskeletal system  Biologically inspired  Muscle synergy  Attractive region in environment  
Salient object detection based on an efficient End-to-End Saliency Regression Network 期刊论文
NEUROCOMPUTING, 2019, 卷号: 323, 期号: 1, 页码: 265-276
作者:  Xi, Xuanyang;  Luo, Yongkang;  Wang, Peng;  Qiao, Hong
浏览  |  Adobe PDF(3011Kb)  |  收藏  |  浏览/下载:479/87  |  提交时间:2019/01/08
Salient object detection  Saliency regression  Deep convolutional neural networks  Fully convolutional networks  
Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems 期刊论文
NEUROCOMPUTING, 2017, 期号: 235, 页码: 147-156
作者:  Zhao, Bo;  Li, Yuanchun;  Liu, Derong
浏览  |  Adobe PDF(1373Kb)  |  收藏  |  浏览/下载:408/107  |  提交时间:2017/05/05
Large-scale Nonlinear Systems  Partial Loss Of Actuator Effectiveness  Decentralized Fault Tolerant Control  Self-tuned Local Feedback Gain  Neural Network  
A biologically inspired model mimicking the memory and two distinct pathways of face perception 期刊论文
NEUROCOMPUTING, 2016, 期号: 205, 页码: 349-359
作者:  Xi, Xuanyang;  Yin, Peijie;  Qiao, Hong;  Li, Yinlin;  Feng, Wensen
浏览  |  Adobe PDF(1899Kb)  |  收藏  |  浏览/下载:465/122  |  提交时间:2016/10/20
Biologically Inspired Model (Bim)  Face Perception  Memory  Component-based  
Distributed control algorithm for bipartite consensus of the nonlinear time-delayed multi-agent systems with neural networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 174, 页码: 928-936
作者:  Wang, Ding;  Ma, Hongwen;  Liu, Derong
Adobe PDF(1037Kb)  |  收藏  |  浏览/下载:379/159  |  提交时间:2016/03/19
Bipartite Consensus  Distributed Control Algorithm  Multi-agent Systems  Neural Networks  Time Delays  
Structural identifiability of generalized constraint neural network models for nonlinear regression 期刊论文
NEUROCOMPUTING, 2008, 卷号: 72, 期号: 1-3, 页码: 392-400
作者:  Yang, Shuang-Hong;  Hu, Bao-Gang;  Cournede, Paul-Henry
收藏  |  浏览/下载:207/0  |  提交时间:2015/11/08
Identifiability  Parameter Redundancy  Derivative Functional Vector  Nonlinear Regression  Hybrid Neural Network  
Single image super-resolution using combined total variation regularization by split Bregman Iteration 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 页码: 551-560
作者:  Li, Lin;  Xie, Yuan;  Hu, Wenrui;  Zhang, Wensheng
浏览  |  Adobe PDF(12862Kb)  |  收藏  |  浏览/下载:292/81  |  提交时间:2015/09/18
Super-resolution  Total Variation  Steering Kernel Regression  Split Bregman Iteration  Local Structural Regularity  Non-local Self-similarity  
An identifying function approach for determining parameter structure of statistical learning machines 期刊论文
NEUROCOMPUTING, 2015, 卷号: 162, 页码: 209-217
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
Adobe PDF(386Kb)  |  收藏  |  浏览/下载:317/77  |  提交时间:2015/09/17
Identifying Function  Structural Identifiability  Statistical Learning Machine  Kullback-leibler Divergence  Parameter Redundancy  Reparameterization  
Nonrigid medical image registration with locally linear reconstruction 期刊论文
NEUROCOMPUTING, 2014, 卷号: 145, 页码: 303-315
作者:  Wang, Lingfeng;  Pan, Chunhong
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Nonrigid Image Registration  Locally Linear Reconstruction  Intensity Distortion  Multi-modal  
Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 期号: 2, 页码: 307-317
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(563Kb)  |  收藏  |  浏览/下载:272/68  |  提交时间:2015/08/12
Identifiability  Optimization Theory  Kullback-leibler Divergence  Hessian Matrix  Jacobian Matrix