|
|
【答案】应助回帖
★ ★ ★ ★ ★
感谢参与，应助指数 +1
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. |
|
回复此楼
