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检索条件"主题词=Online learning algorithm"
47 条 记 录,以下是11-20 订阅
排序:
A detection mechanism on malicious nodes in IoT
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COMPUTER COMMUNICATIONS 2020年 第0期151卷 51-59页
作者: Li, Bohan Ye, Renjun Gu, Gao Liang, Ruochen Liu, Wei Cai, Ken Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China Minist Ind & Informat Technol Key Lab Safety Crit Software Nanjing 211106 Peoples R China Collaborat Innovat Ctr Novel Software Technol & I Nanjing Jiangsu Peoples R China Nanjing Inst Technicians Nanjing 210046 Peoples R China Zhongkai Univ Agr & Engn Coll Automat Guangzhou 510225 Peoples R China
The increasing scale of the Internet of Things (IoT) makes systems vulnerable to serious security threats, especially when the attacks of malicious nodes exist in these networks. Different malicious nodes will launch ... 详细信息
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Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and Machine learning algorithms
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2019年 第10期20卷 3737-3746页
作者: Cheng, Ruijun Song, Yongduan Chen, Dewang Ma, Xiaoping Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China Chongqing Univ Sch Automat Chongqing 400044 Peoples R China Fuzhou Univ Coll Math & Comp Sci Key Lab Spatial Data Min & Informat Sharing MOE Fuzhou 350116 Fujian Peoples R China
For high-speed train (HST), high-precision of train positioning is important to guarantee train safety and operational efficiency. For improving train positioning accuracy, we develop a mathematical positioning model ... 详细信息
来源: 评论
Sliding mode learning control of uncertain nonlinear systems with Lyapunov stability analysis
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TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 2019年 第6期41卷 1750-1760页
作者: Kayacan, Erkan MIT Senseable City Lab 77 Massachusetts Ave Cambridge MA 02139 USA MIT Comp Sci & Artificial Intelligence Lab 77 Massachusetts Ave Cambridge MA 02139 USA
This paper addresses the Sliding Mode learning Control (SMLC) of uncertain nonlinear systems with Lyapunov stability analysis. In the control scheme, a conventional control term is used to provide the system stability... 详细信息
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Prediction and identification of discrete-time dynamic nonlinear systems based on adaptive echo state network
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NEURAL NETWORKS 2019年 113卷 11-19页
作者: Yao, Xianshuang Wang, Zhanshan Zhang, Huaguang Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China
In this paper, a new prediction and identification method based on adaptive echo state network (AESN) is proposed to identify a class of discrete-time dynamic nonlinear systems (DDNS). Firstly, according to the charac... 详细信息
来源: 评论
online Portfolio Selection Based on Kalman Adaptive Moving Averages
World Scientific Research Journal
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World Scientific Research Journal 2020年 第7期6卷 166-172页
作者: Xiaochan Xie
online portfolio selection based on Markowitz's mean-variance theory and Kelly's capital growth theory is a basic problem in financial engineering, which has attracted more and more attention and discussion in... 详细信息
来源: 评论
Fault Diagnosis of Components and Sensors in HVAC Air Handling Systems With New Types of Faults
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IEEE ACCESS 2018年 6卷 21682-21696页
作者: Yan, Ying Luh, Peter B. Pattipati, Krishna R. Univ Connecticut Elect & Comp Engn Storrs CT 06269 USA
Air handling systems are the key sub-systems of heating ventilation and air conditioning (HVAC) systems. They condition and deliver air to satisfy human thermal comfort requirements and provide acceptable indoor air q... 详细信息
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A self-learning disturbance observer for nonlinear systems in feedback-error learning scheme
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2017年 62卷 276-285页
作者: Kayacan, Erkan Peschel, Joshua M. Chowdhary, Girish Univ Illinois Coordinated Sci Lab Urbana IL 61801 USA Iowa State Univ Dept Agr & Biosyst Engn Ames IA 50011 USA
This paper represents a novel online self-learning disturbance observer (SLDO) by benefiting from the combination of a type-2 neuro-fuzzy structure (T2NFS), feedback-error learning scheme and sliding mode control (SMC... 详细信息
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online learning algorithm of Gaussian Process Based on Adaptive Natural Gradient for Regression
Online Learning Algorithm of Gaussian Process Based on Adapt...
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International Conference on Manufacturing Engineering and Automation
作者: Shen, Qianqian Sun, Zonghai S China Univ Technol Coll Automat Sci & Engn Guangzhou 510640 Peoples R China
dGaussian Process (GP) is a new learning method on nonlinear system modeling. The most common way of model training is conjugate gradient method, but this method should compute Heisenberg matrix which needs much compu... 详细信息
来源: 评论
Fast intra coding unit decision for high efficiency video coding based on statistical information
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SIGNAL PROCESSING-IMAGE COMMUNICATION 2017年 55卷 121-129页
作者: Lee, Dokyung Jeong, Jechang Hanyang Univ Dept Elect & Comp Engn Seoul 133791 South Korea
The latest video coding compression standard is known as high efficiency video coding (HEVC). It supports high resolution video sequences and has better coding performance than the,previous standard H.264/AVC. A quad ... 详细信息
来源: 评论
Comparison of online Adaptive learning algorithms for Myoelectric Hand Control  9
Comparison of Online Adaptive Learning Algorithms for Myoele...
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9th International Conference on Human System Interactions (HSI)
作者: Zhang, Yue Wang, Zheng Zhang, Zhuo Fang, Yinfeng Liu, Honghai Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou Zhejiang Peoples R China Univ Portsmouth Sch Comp Portsmouth PO1 2UP Hants England Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China
Pattern recognition (PR) based myoelectric hand control has become a research focus in the field of rehabilitative engineer and intelligent control. However, the state of the art method is hardly adopted for clinical ... 详细信息
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