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《Electronics Optics & Control》 2017-01
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A Service Identification Algorithm Based on Weighed Network Optimized Clustering

LI Lin-lin;ZHENG Yan-shan;JIAO Yang;Rocket Force University of Engineering;  
Considering the optimization of such indexes as convergence and coupling degree in service identification algorithm, we proposed a service identification algorithm based on Weighed Network Optimized Clustering( WNOC) by using the relational degree model and the method of network topology clustering,introducing the adjacency parameter of clustering, and taking the coupling-convergence degree as the optimized objective function. Simulation was made with Matlab to a certain example, and the optimal clustering result was selected according to the coupling-convergence degree optimized model. The result proves the validity of the method in service identification.
【Fund】: 国家“八六三”计划重点资助课题(2011701AA221)
【CateGory Index】: O157.5
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【Citations】
Chinese Journal Full-text Database 2 Hits
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 LI Lin-lin;ZHENG Yan-shan;JIAO Yang;Rocket Force University of Engineering;;A Service Identification Algorithm Based on Weighed Network Optimized Clustering[J];电光与控制;2017-01
2 Wang Xiaoni;Wang Mei;ZTE Corporation;Xidian University;;Research and Implementation of The Domain Software Flexible Integration Framework[J];北京电子科技学院学报;2015-02
3 GUO Yanqun;HAN Min;SUN Linfu;CAD Engineering Center,Southwest Jiaotong University;Southwest Institute of Electronic Equipment;;Model and Architecture of Open SaaS Industry Service Platform[J];西南交通大学学报;2014-06
4 LI Jue-long;ZHANG Miao-miao;XING Jian-chun;YANG Qi-liang;Engineering Institute of National Defense,PLA University of Science and Technology;Research Center of Coastal Defense Engineering;State Key Laboratory for Novel Software Technology,Nan Jing University;;Service identification method of legacy system[J];计算机集成制造系统;2013-09
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