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FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis 期刊论文
NEUROCOMPUTING, 2023, 卷号: 559, 页码: 13
作者:  Zhang, Chang;  Meng, Xiangzhu;  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Ning, Huansheng
Adobe PDF(3483Kb)  |  收藏  |  浏览/下载：148/2  |  提交时间：2023/11/16
Functional magnetic resonance image  Brain network  Federated learning  Deep neural networks  Brain disease diagnosis  
Online semi-supervised learning with learning vector quantization 期刊论文
NEUROCOMPUTING, 2020, 卷号: 399, 页码: 467-478
作者:  Shen, Yuan-Yuan;  Zhang, Yan-Ming;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(1155Kb)  |  收藏  |  浏览/下载：260/7  |  提交时间：2020/06/22
Online learning  Semi-supervised classification  Learning vector quantization  Gaussian mixture distribution  Neural gas  
Energy consumption prediction of office buildings based on echo state networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 216, 期号: n/a, 页码: 478-488
作者:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
浏览  |  Adobe PDF(1405Kb)  |  收藏  |  浏览/下载：469/201  |  提交时间：2017/02/14
Energy Consumption  Time-series Prediction  Office Buildings  Echo State Networks  Reservoir Topologies  
Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2015, 卷号: 156, 期号: x, 页码: 166-175
作者:  Song, Ruizhuo;  Wei, Qinglai;  Sun, Qiuye;  Qinglai Wei
浏览  |  Adobe PDF(629Kb)  |  收藏  |  浏览/下载：400/112  |  提交时间：2015/09/21
Adaptive Dynamic Programming  Approximate Dynamic Programming  Adaptive Critic Designs  Nonlinear Systems  Optimal Control  Time-delay  
Determining structural identifiability of parameter learning machines 期刊论文
NEUROCOMPUTING, 2014, 卷号: 127, 期号: 1, 页码: 88-97
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(515Kb)  |  收藏  |  浏览/下载：346/87  |  提交时间：2015/08/12
Identifiability  Parameter Learning Machine  Exhaustive Summary  Kullback-leibler Divergence  Parameter Redundancy  
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：292/77  |  提交时间：2015/08/12
Identifiability  Optimization Theory  Kullback-leibler Divergence  Hessian Matrix  Jacobian Matrix