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检索条件"主题词=Dynamical Pattern Recognition"
21 条 记 录,以下是1-10 订阅
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dynamical pattern recognition for univariate time series and its application to an axial compressor
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Control Theory and Technology 2024年 第1期22卷 39-55页
作者: Jingtao Hu Weiming Wu Zejian Zhu Cong Wang Center for Intelligent Medical Engineering School of Control Science and TechnologyShandong UniversityJinan250061ShandongChina School of Automation Science and Engineering South China University of TechnologyGuangzhou510641GuangdongChina
In this paper, a learning and recognition approach is proposed for univariate time series composed of output measurements of general nonlinear dynamical systems. Firstly, a class of dynamical systems in the canonical ... 详细信息
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New Results on Rapid dynamical pattern recognition via Deterministic Learning From Sampling Sequences
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024年 第9期35卷 12330-12343页
作者: Wu, Weiming Hu, Jingtao Zhang, Fukai Wang, Cong Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China South China Univ Technol Sch Automat Sci & Engn Guangzhou 510641 Peoples R China
Rapid dynamical pattern recognition based on the deterministic learning method (DLM-based RDPR) aims to rapidly recognize the most similar dynamical pattern pair from perspectives of differences in inherent system dyn... 详细信息
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dynamical pattern recognition for sampling sequences based on deterministic learning and structural stability
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NEUROCOMPUTING 2021年 458卷 376-389页
作者: Wu, Weiming Zhang, Fukai Wang, Cong Yuan, Chengzhi Shandong Univ Sch Control Sci & Engn Ctr Intelligent Med Engn Jinan 250061 Peoples R China Univ Rhode Isl Dept Mech Ind & Syst Engn Kingston RI 02881 USA
This paper focuses on the recognition problem of dynamical patterns consisting of sampling sequences. Specifically, based on the concept of structural stability, a novel similarity measure for dynamical patterns is fi... 详细信息
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Observer-based dynamical pattern recognition via deterministic learning
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NEURAL NETWORKS 2023年 第1期159卷 161-174页
作者: Hu, Jingtao Wu, Weiming Zhang, Fukai Chen, Tianrui Wang, Cong South China Univ Technol Sch Automat Sci & Engn Guangzhou Peoples R China Shandong Univ Ctr Intelligent Med Engn Sch Control Sci & Engn Jinan Peoples R China
In this paper, based on the sampled-data observer and the deterministic learning theory, a rapid dynamical pattern recognition approach is proposed for univariate time series composed of the output signals of the dyna... 详细信息
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Rapid dynamical pattern recognition for sampling sequences
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Science China(Information Sciences) 2021年 第3期64卷 118-135页
作者: Weiming WU Qian WANG Chengzhi YUAN Cong WANG School of Automation Science and Engineering South China University of Technology School of Control Science and Engineering Shandong University Department of Mechanical Industrial and Systems Engineering University of Rhode Island
In this paper, based on deterministic learning, we propose a method for rapid recognition of dynamical patterns consisting of sampling sequences. First, for the sequences yielded by sampling a periodic or recurrent tr... 详细信息
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Implementing dynamical pattern recognition Algorithm on Computer Cluster  35
Implementing Dynamical Pattern Recognition Algorithm on Comp...
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第35届中国控制会议
作者: SUN Qinghua LIN Peng WANG Cong College of Automation Science& Engineering South China University of Technology Guangdong Key Laboratory of Biomedical Engineering South China University of Technology
dynamical pattern recognition based on deterministic learning is the latest pattern recognition *** accomplish large-scale calculation in a short time under this algorithm,high-efficient computing platform is *** comp... 详细信息
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dynamical Feature Extraction and pattern recognition for Mental Workload Level with FNIRS  17th
Dynamical Feature Extraction and Pattern Recognition for Men...
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17th International Conference on Intelligent Robotics and Applications
作者: Zhang, Lianchi Zhang, Jingting Mu, Fengjun Huang, Rui Univ Elect Sci & Technol China Chengdu 611731 Sichuan Peoples R China
Mental Workload Level (MWL) is an important indicator reflecting the human's cognitive state in human-computer interaction, such as the applications of vehicle driving and mental state assessment. A useful method ... 详细信息
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Time series clustering of dynamical systems via deterministic learning
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INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 2024年 第7期15卷 2761-2779页
作者: Sun, Chen Wu, Weiming Zhang, Zirui Li, Zhirui Ji, Bing Wang, Cong Shandong Univ Ctr Intelligent Med Engn Sch Control Sci & Engn Jinan 250061 Peoples R China
A recent deterministic learning theory has achieved locally-accurate identification of unknown system dynamics. This article presents a novel application of deterministic learning theory to unsupervised learning for t... 详细信息
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Direct Representation of the Similarity Measure Based on Deterministic Learning Theory  20th
Direct Representation of the Similarity Measure Based on Det...
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20th Chinese Intelligent Systems Conference
作者: Li, Hao Song, Yunzhong Yang, Feifei Henan Polytech Univ Sch Elect Engn & Automat Jiaozuo 454003 Henan Peoples R China Henan Int Joint Lab Direct Dr & Gen Intelligent E Zhengzhou Peoples R China Henan Key Lab Intelligent Detect & Control Coal M Jiaozuo Henan Peoples R China Zhengzhou Univ Light Ind Sch Elect Informat Engn Zhengzhou 450002 Peoples R China
In traditional rapid recognition of dynamical patterns based on the deterministic learning(DL) method, the approximation of the similarity between two dynamical patterns is usually derived by adding the approximation ... 详细信息
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Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification
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NEURAL NETWORKS 2018年 100卷 70-83页
作者: Deng, Muqing Wang, Cong Tang, Min Zheng, Tongjia Hangzhou Dianzi Univ Inst Informat & Control Hangzhou 310018 Zhejiang Peoples R China South China Univ Technol Coll Automat Guangzhou 510640 Guangdong Peoples R China Chinese Acad Med Sci Natl Ctr Cardiovasc Dis Fuwai Hosp State Key Lab Cardiovasc Dis Beijing 100000 Peoples R China Peking Union Med Coll Beijing 100000 Peoples R China Univ Notre Dame Coll Engn Notre Dame IN 46556 USA
Cardiac characteristics underlying the time/frequency domain features are limited and not comprehensive enough to reflect the temporal/dynamical nature of ECG patterns. This paper proposes a dynamical ECG recognition ... 详细信息
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