On-line Hybrid System of Computational Intelligence for Data Streams Adaptive Processing

On-line Hybrid System of Computational Intelligence for Data Streams Adaptive Processing

Nowadays computational intelligence methods are widely spread in different tasks solving in Data Mining under uncertainty, nonlinearity, and disturbed by different type of stochastic, chaotic noises conditions. In the paper the hybrid neuro-neo-fuzzy system of computational intelligence is proposed....

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Bibliographic Details
Main Authors: Yevgeniy Bodyanskiy, Olena Vynokurova, Iryna Pliss, Galina Setlak
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2015-12-01
Series:Sensors & Transducers
Subjects:
Computational intelligence
Data stream mining
Neuro-neo-fuzzy systems
Neo-fuzzy-neuron
Adaptive learning algorithm
Information processing in on-line mode.
Online Access:http://www.sensorsportal.com/HTML/DIGEST/december_2015/Vol_195/P_2778.pdf

Internet

http://www.sensorsportal.com/HTML/DIGEST/december_2015/Vol_195/P_2778.pdf

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