A DATA MINING METHOD BASED ON CONSTRUCTIVE NEURAL NETWORKS

被引：4
|
作者：
Wang Lunwen Zhang Ling *(309 Research Division
机构：
来源：
Journal of Electronics(China) | 2007年 / 01期
基金：
中国国家自然科学基金;
关键词：
Data mining; Neural networks; Constructive Neural Networks (CNN); Wireless monitoring;
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算];
学科分类号：
摘要：
In this letter,Constructive Neural Networks (CNN) is used in large-scale data mining. By introducing the principle and characteristics of CNN and pointing out its deficiencies,fuzzy theory is adopted to improve the covering algorithms. The threshold of covering algorithms is redefined. "Extended area" for test samples is built. The inference of the outlier is eliminated. Furthermore,"Sphere Neighborhood (SN)" are constructed. The membership functions of test samples are given and all of the test samples are determined accordingly. The method is used to mine large wireless monitor data (about 3×107 data points),and knowledge is found effectively.
引用
收藏
页码：133 / 137
页数：5
相关论文
共 50 条
  • [41] Constructive neural networks with regularization
    Lahnajärvi, Jani
    Lehtokangas, Mikko
    Saarinen, Jukka
    2001, World Scientific and Engineering Academy and Society
  • [42] Data mining method based on rough set and fuzzy neural network
    Zhou, Jingyong
    Guo, Yuan
    Sun, Yu
    Wu, Kai
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (04) : 3717 - 3725
  • [43] Research of Data Mining Approach based on Radial Basis Function Neural Networks
    Zhou, Lijuan
    Wu, Minhua
    Xu, Mingsheng
    Geng, Haijun
    Duan, Luping
    2009 SECOND INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING: KAM 2009, VOL 2, 2009, : 57 - +
  • [44] Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial Neural Networks
    Cardoso, Wandercleiton
    di Felice, Rendo
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA), 2022, : 400 - 407
  • [45] Data-specific activation function learning for constructive neural networks
    Xia, Zhenxing
    Dai, Wei
    Liu, Xin
    Zhang, Haijun
    Ma, Xiaoping
    NEUROCOMPUTING, 2025, 617
  • [46] Refining Constructive Neural Networks Using Functionally Expanded Input Data
    Bertini Junior, Joao Roberto
    Nicoletti, Maria do Carmo
    2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2015,
  • [47] A CONSTRUCTIVE BASED HYBRID TRAINING ALGORITHM FOR FEEDFORWARD NEURAL NETWORKS
    Ben Nasr, Mounir
    Chtourou, Mohamed
    2009 6TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES, VOLS 1 AND 2, 2009, : 97 - 100
  • [48] The intelligent control terminal with SCM based on constructive neural networks
    Zhang, C. J.
    Wang, H. L.
    Zhang, L.
    2006 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, 2006, : 74 - +
  • [49] A multiagent-based constructive approach for feedforward neural networks
    Lima, CAM
    Coelho, ALV
    Von Zuben, FJ
    ADVANCES IN INTELLIGENT DATA ANALYSIS V, 2003, 2810 : 462 - 473
  • [50] Neural Networks Based Method For Automatic Classification Of GPR Data
    Szymczyk, Magdalena
    Szymczyk, Piotr
    COMPUTATIONAL TECHNOLOGIES IN ENGINEERING (TKI'2018), 2019, 2078
12345