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aboyhw

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请大家帮忙查询一下论文EI收录情况,题目是:Network intrusion clustering based on fuzzy C-Means and modified Kohonen neural network    谢谢
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aboyhw: 金币+5, ★★★★★最佳答案, 谢谢版主 2015-03-07 23:17:46
心静_依然: LS-EPI+1, 感谢应助 2015-03-07 23:23:17
Accession number:       
20150500477813
        Title:        Network intrusion clustering based on Fuzzy C-Means and modified Kohonen neural network
        Authors:        Ye, Hongwei1 Email author aboyhw@163.com; Zhang, Lianjiao1; Liu, Xiaozhang2
        Author affiliation:        1 School of Electron and Information Engineering, Heyuan Polytechnic College, Dong Huan Road, Heyuan, China
                2 School of Computer Science, Dongguan University of Technology, No.1, Daxue Rd Songshan Lake, Dongguan, China
        Corresponding author:        Ye, Hongwei
        Source title:        Computer Modelling and New Technologies
        Abbreviated source title:        Comput. Model. New Technol.
        Volume:        18
        Issue:        11
        Issue date:        2014
        Publication year:        2014
        Pages:        154-158
        Language:        English
        ISSN:        14075806
        E-ISSN:        14075814
        Document type:        Journal article (JA)
        Publisher:        Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia
        Abstract:        Kohonen neural network recognizes and clarifies substantive network data, but with a long running time and a slow convergence process. To solve this problem, a network intrusion clustering method is presented in this paper. Specifically, the training data is pretreated using Fuzzy C-Means (FCM). Then some selected data will be trained with using Kohonen neural network. Meanwhile, to speed up the convergence process of Kohonen neural network and to form a better optimized network topology, a neighbourhood function is established for the competing neuron. Each neuron has neighbourhood topology collections. The data simulation results demonstrate the efficiency and effectiveness of the proposed algorithm.
        Number of references:        12
        Main heading:        Neurons
        Controlled terms:        Electric network topology  -  Fuzzy systems  -  Topology
        Uncontrolled terms:        Clustering methods  -  Convergence process  -  FCM  -  Kohonen neural networks  -  Neighbourhood topology  -  Network intrusions  -  Network topology  -  Slow convergences
        Classification code:        461.9 Biology -  703.1 Electric Networks -  961 Systems Science
        Database:        Compendex
                Compilation and indexing terms, © 2015 Elsevier Inc.
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