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基于在线学习的多任务方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  孙干
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终身机器学习  多任务学习  在线学习  度量学习  迁移学习  
基于运动想象的脑机接口及其应用研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  邹宜君
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脑机接口  脑电信号  独立成分分析  共空间模式滤波  
新能源客车生产线监控系统的设计与产品质量预测 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  殷辉
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离散制造业  数据采集  智能监控  组态软件  支持向量机  
Learning joint space–time–frequency features for EEG decoding on small labeled data 期刊论文
Neural Networks, 2019, 卷号: 114, 页码: 67-77
Authors:  Zhao DY(赵冬晔);  Tang FZ(唐凤珍);  Si BL(斯白露);  Feng XS(封锡盛)
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Brain-computer interfaces  Convolutional neural network  Joint space–time–frequency feature learning  Subject-to-subject weight transfer  Small labeled data  
Adaptive Hybrid Classifier for Myoelectric Pattern Recognition Against the Interferences of Outlier Motion, Muscle Fatigue, and Electrode Doffing 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2019, 卷号: 27, 期号: 5, 页码: 1071-1080
Authors:  Ding QC(丁其川);  Zhao XG(赵新刚);  Han JD(韩建达);  Bu CG(卜春光);  Wu CD(吴成东)
View  |  Adobe PDF(2259Kb)  |  Favorite  |  View/Download:156/42  |  Submit date:2019/06/18
Surface electromyography (sEMG)  myoelectric prosthesis  adaptive classifier  online update  
An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface 期刊论文
Medical and Biological Engineering and Computing, 2019, 卷号: 57, 期号: 4, 页码: 939-952
Authors:  Zou YJ(邹宜君);  Zhao XG(赵新刚);  Chu YQ(褚亚奇);  Zhao YW(赵忆文);  Xu WL(徐卫良);  Han JD(韩建达)
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Brain-computer interface (BCI)  Electroencephalogram (EEG)  Machine learning  Movement imagination  Common spatial pattern  Inter-subject model  
Hybrid incremental learning of new data and new classes for hand-held object recognition 期刊论文
Journal of Visual Communication and Image Representation, 2019, 卷号: 58, 页码: 138-148
Authors:  Chen, Chengpeng;  Min WQ(闵巍庆);  Li, Xue;  Jiang SQ(蒋树强)
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Incremental learning  Object recognition  SVM  Human-machine interaction  
基于自更新混合分类模型的肌电运动识别方法 期刊论文
自动化学报, 2019, 卷号: 45, 期号: 8, 页码: 1464-1474
Authors:  丁其川;  赵新刚;  李自由;  韩建达
View  |  Adobe PDF(2199Kb)  |  Favorite  |  View/Download:290/48  |  Submit date:2018/03/25
表面肌电  动作识别  模式分类  在线更新  肌肉疲劳  
基于卷积神经网络的自适应样本加权脑机接口建模 期刊论文
信息与控制, 2019, 卷号: 48, 期号: 6, 页码: 658-665
Authors:  邹宜君;  赵新刚;  徐卫良;  韩建达
Adobe PDF(1640Kb)  |  Favorite  |  View/Download:25/8  |  Submit date:2020/02/17
脑机接口  卷积神经网络  样本加权  
A Noninvasive System for the Automatic Detection of Gliomas Based on Hybrid Features and PSO-KSVM 期刊论文
IEEE Access, 2019, 卷号: 7, 页码: 13842-13855
Authors:  Song GL(宋国立);  Huang Z(黄钲);  Zhao YW(赵忆文);  Zhao XG(赵新刚);  Liu YH(刘云辉);  Bao, Min;  Han JD(韩建达);  Li P(李鹏)
View  |  Adobe PDF(13698Kb)  |  Favorite  |  View/Download:194/35  |  Submit date:2019/03/09
Modified CLBP  PSO-KSVM  Glioma detection  hybrid features  skull removal