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《Journal of Liaoning University of Technology(Natural Science Edition)》 2010-01
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Improved ART-2-based Grid Intrusion Detection Model

SHI Hong-yan1,DAI Bo1,2,LIU Chang1,HUANG Xu-yong1(1.Electron & Information Engineering College,Liaoning University of Technology,Jinzhou 121001,China;2.College of Information Science & Engineering,Northeastern University,Shenyang 110004,China)  
The neural network ART-2 theory(adaptive resonance theory) was applied,based on the traditional ART-2,the adjoint neuron and reset system B were increased to have solved the problem of the incomplete pre-classification caused by the insensitivity to the process of gradual change in the intrusion detection system.By comparison with the intrusion detection model based on the traditional ART-2 and the intrusion detection model based on Naive Bayes,the results expatiated the improved ART-2 neural network broke the limitation of traditional ART-2 insensitive to the process of gradual change and improved the capacity of the pre-classification.
【Fund】: 辽宁省教育厅科研项目(2008308)
【CateGory Index】: TP393.08
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Chinese Journal Full-text Database 2 Hits
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2 Ma Jisheng ( Artillery Engineering Department, Ordnance Engineering College, Shijiazhuang 050003);A NEW ART2 NEURAL NETWORK MODEL[J];Pattern Recognition and Artificial Intelligence;2000-02
Chinese Journal Full-text Database 10 Hits
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2 ZHANG Li-jun,XU Jia(Department of Electronic Information,Beijing Institute of Graphic Communication,Beijing 102600,China);Study and Discussion of Artificial Neuron Circuit Structure[J];Journal of Beijing Institute of Graphic Communication;2006-04
3 FENG Bi-boa,ZHANG Ling-lib,CHEN Yana(a.School of Computer Science and Engineering;b.School of Foreign Languages,Chongqing Institute of Technology,Chongqing 400054,China);Application of BP Neural Network in Flood Forecasting[J];Journal of Chongqing Institute of Technology(Natural Science);2008-07
4 CHEN Haitao WANG Guohui(Faculty of Construction,Guangdong University of Technology,100 West Waihuan Road,Guangzhou 510006,China);PREDICTION METHOD OF RBF NEURAL NETWORK FOR DEFORMATION MONITORING[J];Journal of Geomatics;2009-04
5 Qi Xiaoyu Qiqihar University;Fault Classification and Identifi cation for Mator Based on Self-organizing Feature Map Network[J];Electrical Machinery Technology;2010-01
6 Tang Suli et al;Development and Application of Artificial Neural Network Technology[J];Computer Development & Applications;2009-10
7 YANG Su-ping (Hunan First Normal University,Changsha,Hunan 410205);Evaluation Mode of the Informationization Level of University Logistics Management Based on Simulated Annealing Algorithm[J];Journal of Hunan First Normal University;2009-03
8 WAN Gxin1, WAMG Zhao-feng2(1.Information Center of Ministry of Agriculture, Beijing, 100026, China;2.Information Center of Ministry of Land and Resources, Beijing, 100812, China);Application of Aluminium Electrolysis Based on Artificial Neural Network[J];Management Geological Science and Technology;2005-03
9 Ren Pei-gang1a,1b,XIA Cun-yin1a,1b,LI Yuan1a,1b,XU Bo-wen2,YIN Ling-ling2(1a.Faculty of Earth Resources;1b.Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education,China University of Geosciences Wuhan 430074,China;2.Faculty of Exploration Technologies for Oil and Resources,Yangtze University,Hubei Jingzhou 434023,China);Application of Self-organizing Neural Network to Logging Reservoir Evaluation[J];Geological Science and Technology Information;2010-03
10 Guo Yayu1,2,Sun Ligong1,Su Zhaoren3(1.Shanxi Railway Institute,Weinan Shanxi 714000,China;2.School of Civil Engineering,Lanzhou Jiaotong University,Lanzhou Gansu 730070,China;3.No.3 Engineering Company Ltd.of CCCC First Harbor Engineering Company Ltd.,Dalian Liaoning 116001;China);Application of Improved BP Neural Network in Prediction of Settlement of Roadbed[J];Port Engineering Technology;2010-05
【Secondary Citations】
Chinese Journal Full-text Database 3 Hits
1 ZHOU Yanjun1,WANG Shuangcheng2,WANG Hui1, (1.Department of Computer Science,Northeast Normal University,Changchun 130024,China; 2.Institute of Computer Science and Technology,Jilin University,Changchun 130025,China);Research for the classifiers based on Bayesian networks[J];Journal of Northeast Normal University (Natural Science Edition);2003-02
2 Jiang Maosheng Wang Hao Yao Hongliang(Department of Computer Science and Technology,Hefei University of Technology,Hefei230009);Studies on Incremental Learning Sequence Algorithm of Naive Bayesian Classifier[J];Computer Engineering and Applications;2004-14
3 MAO Wei,XU Wei-ran,GUO Jun(The Library of Patten Recognition and Intelligent System,Beijing University of Post and Telecommunication,Beijing 100876,China);A Chinese Text Classifier Based on n-gram Language Model and Chain Augmented Na?ve Bayesian Classifier[J];Journal of Chinese Information Processing;2006-03
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