An Evolving Cascade System Based on a Set of Neo - Fuzzy Nodes

Автор: Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 9 vol.8, 2016 года.

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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.

Computational Intelligence, Machine Learning, Cascade System, Data Stream Processing, Neuro-Fuzzy System, Neo-Fuzzy System

Короткий адрес: https://sciup.org/15010852

IDR: 15010852

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