DOI: https://doi.org/10.15588/1607-3274-2012-1-17

EVOLVING NEURO-FUZZY SYSTEM COMBINED LEARNING

A. O. Deyneko, I. P. Pliss, Y. V. Bodiansky

Abstract


In this work the evolving neuro-fuzzy system with kernel activation function that contains fuzzy support vector machine, normalized radial basis function neural network and general regression neuro-fuzzy network as subsystems is proposed. This network is tuned using both optimization and memory based approaches and does not inclined to the «curse of dimensionality», is able to real time mode information processing by adapting its parameters and structure to problem conditions.

Keywords


evolving neuro-fuzzy system, normalized radialbasis function neural network, general regression neuro-fuzzy network, fuzzy support vector machine, kernel activation function.

GOST Style Citations








Copyright (c) 2014 A. O. Deyneko, I. P. Pliss, Y. V. Bodiansky

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Address of the journal editorial office:
Editorial office of the journal «Radio Electronics, Computer Science, Control»,
National University "Zaporizhzhia Polytechnic", 
Zhukovskogo street, 64, Zaporizhzhia, 69063, Ukraine. 
Telephone: +38-061-769-82-96 – the Editing and Publishing Department.
E-mail: rvv@zntu.edu.ua

The reference to the journal is obligatory in the cases of complete or partial use of its materials.