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检索条件"主题词=Subtractive clustering algorithm"
21 条 记 录,以下是1-10 订阅
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Fuzzy forecasting based on linear combinations of independent variables, subtractive clustering algorithm and artificial bee colony algorithm
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INFORMATION SCIENCES 2019年 484卷 350-366页
作者: Zeng, Shouzhen Chen, Shyi-Ming Teng, Mario Orlando Ningbo Univ Sch Business Ningbo 315211 Zhejiang Peoples R China Natl Taiwan Univ Sci & Technol Dept Comp Sci & Informat Engn Taipei Taiwan
In this paper, we propose a new clustering-based fuzzy time series (FTS) forecasting method based on linear combinations of independent variables, the subtractive clustering algorithm and the artificial bee colony (AB... 详细信息
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Automatic subtractive clustering algorithm Model (ASCAM) for Blind Identification of QAM Constellations  13
Automatic Subtractive Clustering Algorithm Model (ASCAM) for...
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IEEE 13th International Conference on Pattern Recognition Systems (ICPRS)
作者: Sommart, Thanapong Tuektaewskul, Vanisara Suksompong, Prapun Thammasat Univ Sch Informat Comp & Commun Technol Sirindhorn Int Inst Technol Pathum Thani Thailand
Blind System Identification (BSI) is a major pattern recognition task in many fields, including digital communication systems. Recently, many machine learning techniques have been applied to identify modulation types ... 详细信息
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Research on the subtractive clustering algorithm for mobile ad hoc network based on the Akaike information criterion
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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2019年 第9期15卷
作者: Banteng, Liu Yang, Haibo Chen, Qiuxia Wang, Zhangquan Zhejiang Shuren Univ Coll Informat Engn Hangzhou 310015 Zhejiang Peoples R China
Large and dense mobile ad hoc networks often meet scalability problems, the hierarchical structures are needed to achieve performance of network such as cluster control structure. clustering in mobile ad hoc networks ... 详细信息
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An Efficient Method for Estimating Cluster Radius of subtractive clustering Based on Genetic algorithm
An Efficient Method for Estimating Cluster Radius of Subtrac...
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IEEE 17th International Symposium on Consumer Electronics (ISCE)
作者: Shieh, Horng-Lin Chang, Po-Lun Lee, Chien-Nan St Johns Univ Dept Elect Engn New Taipei City Taiwan Lunghwa Univ Sci & Technol Dept Elect Engn Taoyuan Taiwan Oriental Inst Technol Dept Elect Engn New Taipei Taiwan
The subtractive clustering algorithm (SC) is a popular method for data clustering. But the radius of each cluster is an important factor which affects the performances of clustering results. This paper proposes an obj... 详细信息
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Training RBF neural networks with PSO and improved subtractive clustering algorithms
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13th International Conference on Neural Informational Processing
作者: Chen, JunYing Qin, Zheng Xi An Jiao Tong Univ Dept Comp Sci Xian 710049 Peoples R China Tsinghua Univ Sch Software Beijing 100084 Peoples R China
In this paper, Particle Swarm Optimization (PSO) and improved subtractive clustering algorithm were proposed for training RBF neural networks. PSO was used to feature selection in conjunction with RBF classifiers for ... 详细信息
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A subtractive clustering Scheme for Text-Independent Online Writer Identification  13
A Subtractive Clustering Scheme for Text-Independent Online ...
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13th IAPR International Conference on Document Analysis and Recognition (ICDAR)
作者: Singh, Gautam Sundaram, Suresh Indian Inst Technol Guwahati Dept Elect & Elect Engn Gauhati 781039 Assam India
This paper proposes a text-independent writer identification framework for online handwritten text. The method utilizes an unsupervised learning scheme termed 'subtractive clustering' to discover the unique wr... 详细信息
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On the performance evaluation of 3PL using subtractive clustering based RBFNN and UDM
On the performance evaluation of 3PL using subtractive clust...
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IEEE International Conference on Service Operations and Logistics and Informatics
作者: Kang Yan Kang Shiying Wang Ximei Chongqing Univ Sch Software Chongqing 400044 Peoples R China Chongqing Technol & Business Univ Sch Comp Sci & Informat Technol Chongqing 400067 Peoples R China
Nowadays, the application of neural network technology in the evaluation of Third party logistics (3PL) is very limited in China. The reason lies in the difficulty to find high quality training samples for neural netw... 详细信息
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subtractive clustering and phase correlation similarity measure for endmember extraction
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INFRARED PHYSICS & TECHNOLOGY 2020年 110卷 103452-103452页
作者: Palla, Parasuram Yadav Shetty, Amba Raghavendra, B. S. Narasimhadhan, A., V Natl Inst Technol Karnataka Surathkal India
Target identification using Remote Sensing techniques saves time, cost and reduces difficulties in field investigation. The endmember is a reference spectral response of a pure pixel in the hyperspectral image and is ... 详细信息
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A deep semantic segmentation-based algorithm to segment crops and weeds in agronomic color images
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Information Processing in Agriculture 2022年 第3期9卷 355-364页
作者: Sovi Guillaume Sodjinou Vahid Mohammadi Amadou Tidjani Sanda Mahama Pierre Gouton Institute of Mathematics and Physical Sciences University of Aboney CalaviDangboBenin ImViA UFR Sciences et TechniquesUniversite de BourgogneFranche-ComteDijonFrance
In precision agriculture,the accurate segmentation of crops and weeds in agronomic images has always been the center of *** methods have been proposed but still the clean and sharp segmentation of crops and weeds is a... 详细信息
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Locating minimum number of PMUs for pre- and post-disturbance monitoring of power systems
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IET GENERATION TRANSMISSION & DISTRIBUTION 2019年 第1期13卷 127-136页
作者: Koochi, Mohammad Hossein Rezaeian Esmaeili, Saeid Ledwich, Gerard Shahid Bahonar Univ Kerman Dept Elect Engn Kerman Iran Queensland Univ Technol Sch Elect Engn & Comp Sci Brisbane Qld Australia
In this study, the post-disturbance coherency of buses is added to the conventional phasor measurement unit (PMU) placement problem to find the minimum number of PMUs at different depths of unobservability. To do that... 详细信息
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