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检索条件"机构=Key Lab. of Industrial Computer Control Engineering"
401 条 记 录,以下是281-290 订阅
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Introduction to time series search engine systems
Introduction to time series search engine systems
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2012 International Conference on Systems and Informatics, ICSAI 2012
作者: Zhang, Chuanlei Luo, Ji'An Zhang, Shanwen Zhang, Chen Department of Electrical and Computer Engineering Ryerson University Canada State Key Lab. of Industrial Control Tech. Zhejiang University Zhejiang 310027 China Department of Engineering and Technology Zhengzhou University China Discover Information Technology Limited Shanghai China
Basic structure of time series search engine system, involving acquisition, data processing and retrieval sub-systems, was elab.rated. And options for time series search engine architectures and supported features and... 详细信息
来源: 评论
Corrigendum to “Development and investigation of efficient artificial bee colony algorithm for numerical function optimization” [Appl. Soft Comput. 12 (2012) 320–332]
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Applied Soft Computing 2013年 第4期13卷 2143-2143页
作者: Guoqiang Li Peifeng Niu Xingjun Xiao Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China
来源: 评论
An embedded co-AdaBoost and its application in classification of software document relation
An embedded co-AdaBoost and its application in classificatio...
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2012 8th International Conference on Semantics, Knowledge and Grids, SKG 2012
作者: Liu, Jin Li, Juan Xie, Yuan Lei, Jeff Hu, Qiping State Key Lab. of Software Engineering Computer School Wuhan University China State Key Lab. of Intelligent Control and Management of Complex Systems Institute of Automation CAS China Department of Computer Science and Engineering University of Texas Arlington TX United States International School of Software Wuhan University China
To enhance classification performance by making use of easily availab.e unlab.lled data to overcome the scarcity of lab.lled data, this paper proposes an Embedded Co-Adaboost algorithm that integrates multi-view learn... 详细信息
来源: 评论
Object Tracking Method Based on SURF
Object Tracking Method Based on SURF
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2012 Conference on Modelling, Identification and control (MIC2012)
作者: Hu Shuo Wu Na Song Huajun Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical EngineeringYanshan University Key Lab of Measurement Technology & Instrumentation of Hebei Province Institute of Electrical EngineeringYanshan University Institute of Information and Control Engineering China University of Petroleum(East China)
An object tracking algorithm based on SURF is presented in this *** points are detected by SURF detector in reference region which is located in the first frame *** the following sequences,the SURF feature points are ... 详细信息
来源: 评论
Sparse online LS-SVM based on modified particle swarm optimization algorithm and application
Sparse online LS-SVM based on modified particle swarm optimi...
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2012 3rd International Conference on Intelligent control and Information Processing, ICICIP 2012
作者: Zhang, Weiping Niu, Peifeng Li, Guoqiang Institute of Electrical Engineering Yanshan University China Qinhuangdao Institute of Technology CO 066100 China Key Lab. of Industrial Computer Control Engineering of Hebei Province National Engineering Research Center for Equipment and Technology of Cold Strip Rolling CO 066004 China Institute of Electrical Engineering Yanshan University CO 066004 China
In this paper, A simple and effective mechanism is proposed to realize the parsimoniousness of the online least squares support vector machine. Hence, the response time is curtailed. Besides, a modified Particle Swarm... 详细信息
来源: 评论
An Improved Included Angle Dividing Method for Multimodel control of Hammerstein Systems
An Improved Included Angle Dividing Method for Multimodel Co...
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第23届过程控制会议
作者: Jingjing Du Chunyue Song Xinliang Zhang State Key Lab. of Industrial Control Technology Institute of Industrial Process Control Zhejiang U State Key Lab. of Industrial Control Technology Institute of Industrial Process Control Zhejiang U School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000
An improved included angle dividing method is proposed for Hammerstein systems. In this dividing method, nonlinearity of the system is taken into account to distribute gridding points, so distribution is more reasonab... 详细信息
来源: 评论
Prediction error method for identification of LPV models
Prediction error method for identification of LPV models
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作者: Zhao, Yu Huang, Biao Su, Hongye Chu, Jian State Key Lab. of Industrial Control Technology Institute of Cyber Systems and Control Zhejiang University Hangzhou China University of Alberta Department of Chemical and Material Engineering Edmonton AB T6G-2G6 Canada
This paper is concerned with identification of linear parameter varying (LPV) systems in an input-output setting with Box-Jenkins (BJ) model structure. Classical linear time invariant prediction error method (PEM) is ... 详细信息
来源: 评论
Effects and solution of electric power steering system on vehicle handling stability
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Journal of Computational Information Systems 2012年 第1期8卷 65-72页
作者: Zang, Huaiquan Geng, Jia Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical and Engineering Yanshan University Qinhuangdao 066004 China
To research the effects of electric power steering (EPS) system on vehicle handling stability and to improve it, this paper derives the expressions of road feeling and steering sensitivity, regards which as the perfor... 详细信息
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An Improved Method for MRAC System of Indirectly Designed
An Improved Method for MRAC System of Indirectly Designed
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2012年控制与信息国际会议
作者: Huishan Han Yan Liu Defang Cheng Xue Gao Xingtai Polytechnic College Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University
Based on Lyapunov stability theorem, a MRAC system was researched to solve that differential value of plant output is unknown. Meanwhile an improved design for MRAC system aimed on the factor of restricting convergenc... 详细信息
来源: 评论
Bearing fault diagnosis based on multiple classifiers group of Fuzzy C Means
Bearing fault diagnosis based on multiple classifiers group ...
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31st Chinese control Conference, CCC 2012
作者: Xinbin, Li Xi, Sun Qiang, Chen Yun Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China
In this paper, Fuzzy C-Means (FCM) is adopted to constitute multiple classifiers group to classify the bearing failure and its clustering centers are optimized by Particle Swarm Optimization (PSO) algorithm with globa... 详细信息
来源: 评论