• DocumentCode
    475919
  • Title

    Data Mining based on applying genetic algorithm for extracting rules from a BDB Neural Network

  • Author

    Wang, Jing-min ; Chen, Lin

  • Author_Institution
    Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding
  • Volume
    1
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    240
  • Lastpage
    244
  • Abstract
    Neural networks has been widely used in data mining, but the main challenge of it is to get high efficiency and explicit knowledge. So a BDB neural network is proposed to improve the efficiency in the paper. Meanwhile, an improved genetic algorithm, which can enhance ability of selecting fitness, for rule extraction from artificial neural networks is adopted. Compared with other data mining measures, the developed algorithm shows higher performance in efficiency and accuracy.
  • Keywords
    data mining; genetic algorithms; neural nets; artificial neural networks; data mining; genetic algorithm; rules extraction; Acceleration; Artificial neural networks; Convergence; Cybernetics; Data mining; Delta modulation; Genetic algorithms; Machine learning; Machine learning algorithms; Neural networks; BDB neural network; Data mining; Genetic algorithm; Rule extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620411
  • Filename
    4620411
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=475919