English

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

Artificial Intelligence 2016-10-21 v1 Neural and Evolutionary Computing

Abstract

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.

Keywords

Cite

@article{arxiv.1610.06484,
  title  = {An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes},
  author = {Zhengbing Hu and Yevgeniy V. Bodyanskiy and Oleksii K. Tyshchenko and Olena O. Boiko},
  journal= {arXiv preprint arXiv:1610.06484},
  year   = {2016}
}
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