An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes
October 20, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
arXiv ID
1610.06484
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.NE
Citations
25
Venue
arXiv.org
Last Checked
4 months ago
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.
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