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文章基本信息

  • 标题:Comparitive Study of Probabilistic Neural Network and Radial Basis Functional Link Neural Network in Time Series Data Mining
  • 本地全文:下载
  • 作者:Lalit Kumar Behara ; Maya Nayak
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:6
  • 页码:2637-2644
  • 出版社:TechScience Publications
  • 摘要:This paper proposes a comparative analysis between radial basis functional link network (RBFLN) –a combination of radial basis functions with the random vector functional link nets with probabilistic neural network(PNN).The novel Stransform based neural classifier scheme is used for time series data mining of power quality events occurring due to power signal disturbances. The extracted features from discrete wavelet transform(DWT) and S – transform (ST) are used in probabilistic neural network (PNN), and proposed radial basis functional link network for pattern classification and data mining which can be used for subsequent knowledge discovery.
  • 关键词:Neural network ; PNN; RBFLN; DWT;S-transform ; Feature extraction; Classification.
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