An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes

نویسندگان

  • Zhengbing Hu
  • Yevgeniy V. Bodyanskiy
  • Oleksii K. Tyshchenko
  • Olena O. Boiko
چکیده

Neo-fuzzy elements are used as nodes for an evolving cascade system. The proposed system can tune both its parameters and architecture in an online mode. It can be used for solving a wide range of Data Mining tasks (namely time series forecasting). The evolving cascade system with neo-fuzzy nodes can process rather large data sets with high speed and effectiveness.

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عنوان ژورنال:
  • CoRR

دوره abs/1610.06484  شماره 

صفحات  -

تاریخ انتشار 2016