An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes
作者： Oleksii K. Tyshchenko , Zhengbing Hu , Yevgeniy V. Bodyanskiy , Olena O. Boiko
DOI:
关键词: Computer science 、 Process (computing) 、 Set (abstract data type) 、 Time series 、 Fuzzy logic 、 Distributed computing 、 Range (mathematics) 、 Cascade 、 Mode (statistics) 、 Artificial intelligence
摘要: Neo-fuzzy elements are used as nodes for an evolving cascade system. The proposed system can tune both its parameters and architecture in online mode. It be solving a wide range of Data Mining tasks (namely time series forecasting). with neo-fuzzy process rather large data sets high speed effectiveness.
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harvard.edu参考文章(15)
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