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检索条件"主题词=K-Means Clustering Algorithm"
397 条 记 录,以下是291-300 订阅
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Operational Conditions Division of Wind Turbines  29
Operational Conditions Division of Wind Turbines
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第29届中国控制与决策会议
作者: DONG Haiying XU kelei YANG Lixia GU Yaoqin CHEN Ningning School of New Energy and Power Engineering Lanzhou Jiaotong University School of Automation and Electrical Engineering Lanzhou Jiaotong University
Due to the complicated and variable operating environment of wind turbines,a method based on k-means clustering algorithm is proposed to divide the operating condition for wind turbines and supplies the forceful found... 详细信息
来源: 评论
Visual based laser speckle pattern recognition method for structural health monitoring
Visual based laser speckle pattern recognition method for st...
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Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
作者: Park, kyeongtaek Torbol, Marco Ulsan Natl Inst Sci & Technol Sch Urban & Environm Engn 50 UNIST Gil Ulsan 44919 South Korea
This study performed the system identification of a target structure by analyzing the laser speckle pattern taken by a camera. The laser speckle pattern is generated by the diffuse reflection of the laser beam on a ro... 详细信息
来源: 评论
Error Prediction method of Electronic Transformers Based on RBF Neural Network  13
Error Prediction method of Electronic Transformers Based on ...
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2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)
作者: Wu Qiao Xu Xin Yang Shihai Lu Shufeng Chen Gang Electric Power Research Institute Jiangsu Electric Power Company School of Electrical Engineering Southeast University
With the gradual application of electronic transformers in the intelligent substation, the influence of the typical disturbing source on the electronic transformers is gradually to the industry’s attention. In order ... 详细信息
来源: 评论
An improved k-means clustering algorithm based on the optimization of initial centroids and iterations
An improved k-means clustering algorithm based on the optimi...
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2011 3rd IEEE International Conference on Information Management and Engineering(ICIME 2011)
作者: Li Lei Pattern Recognition and Intelligence System, College of Automation, Nanjing University of Post and Telecommunications Nanjing, China Hang Xin Pattern Recognition and Intelligence System, College of Automation, Nanjing University of Post and Telecommunications Nanjing, China
This paper presents a new method to preprocess the datasets, and an efficient way for assigning data points to clusters. The improved method avoids k-means algorithm sensitive to the initial centroids and instability,... 详细信息
来源: 评论
Error Prediction method of Electronic Transformers Based on RBF Neural Network
Error Prediction method of Electronic Transformers Based on ...
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13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)
作者: Wu Qiao Xu Xin Yang Shihai Lu Shufeng Chen Gang Jiangsu Elect Power Co Elect Power Res Inst Nanjing 211103 Jiangsu Peoples R China Southeast Univ Sch Elect Engn Nanjing 210096 Jiangsu Peoples R China
With the gradual application of electronic transformers in the intelligent substation, the influence of the typical disturbing source on the electronic transformers is gradually to the industry's attention. In ord... 详细信息
来源: 评论
Research on Intrusion Detection Based on Feature Extraction of Autoencoder and the Improved k-means algorithm
Research on Intrusion Detection Based on Feature Extraction ...
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10th International Symposium on Computational Intelligence and Design (ISCID)
作者: Wang, Xingang Wang, Linlin Qilu Univ Technol Sch Informat Jinan Shandong Peoples R China
Nowadays, intrusion detection is a technology to effectively avoid a number of risks of network intrusion. The k-means algorithm is widely used in intrusion detection. But, the algorithm has some shortcomings, such as... 详细信息
来源: 评论
Hybrid clustering-Time Series-Bayesian Neural Network Short-Term Load Forecasting Method  48
Hybrid Clustering-Time Series-Bayesian Neural Network Short-...
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48th North American Power Symposium (NAPS)
作者: Ghofrani, M. Carson, D. Ghayekhloo, M. Univ Washington Sch Sci Technol Engn & Math STEM Bothell WA 98011 USA Qazvin Islamic Azad Univ Dept Elect & Comp Engn Qazvin Iran
This paper offers a hybrid short-term load forecasting (STLF) model using a Bayesian neural network (BNN) with a pre-processing stage consisting of a k-means clustering algorithm and time series analysis. The data clu... 详细信息
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Towards an EEG-based brain-computer interface for online robot control
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MULTIMEDIA TOOLS AND APPLICATIONS 2016年 第13期75卷 7999-8017页
作者: Li, Yantao Zhou, Gang Graham, Daniel Holtzhauer, Andrew Southwest Univ Coll Comp & Informat Sci Chongqing 400715 Peoples R China Coll William & Mary Dept Comp Sci Williamsburg VA 23187 USA Mitre Corp Mclean VA USA
According to New York Times, 5.6 million people in the United States are paralyzed to some degree. Motivated by requirements of these paralyzed patients in controlling assisted-devices that support their mobility, we ... 详细信息
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An approach to evaluate resource utilization in energy management systems
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ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY 2016年 第9期11卷 855-860页
作者: Haeri, Abdorrahman Rezaie, kamran Iran Univ Sci & Technol Sch Ind Engn POB 16846-13114 Tehran Iran Univ Tehran Coll Engn Sch Ind Engn Tehran Iran
Organizations implement management systems to achieve better performance in different functions. One important area of management systems is "energy management systems". ISO 50001: 2011 proposed a systematic... 详细信息
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An Efficient Predictive Model for Probability of Genetic Diseases Transmission
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INTERNATIONAL JOURNAL OF ENGINEERING 2017年 第8期30卷 1152-1159页
作者: Hamidi, H. Qaribpour, F. KN Toosi Univ Technol Dept Ind Engn Informat Technol Grp Tehran Iran
In this article, a new combined approach of a decision tree and clustering is presented to predict the transmission of genetic diseases. In this article, the performance of these algorithms is compared for more accura... 详细信息
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