KIEE International Transaction on Systems and Control
- Volume 12D Issue 1
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- Pages.12-17
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- 2002
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- 1598-3595(pISSN)
Advanced Self-organizing Neural Networks with Fuzzy Polynomial Neurons : Analysis and Design
- Oh, Sung-Kwun (Department of electrical, Electrical, Electronic and information Engineering, Wonkwang University) ;
- Lee , Dong-Yoon (Department of Information Engineering, Joongbu University)
- Published : 2002.03.01
Abstract
We propose a new category of neurofuzzy networks- Self-organizing Neural Networks(SONN) with fuzzy polynomial neurons(FPNs) and discuss a comprehensive design methodology supporting their development. Two kinds of SONN architectures, namely a basic SONN and a modified SONN architecture are dicussed. Each of them comes with two types such as the generic and the advanced type. SONN dwells on the ideas of fuzzy rule-based computing and neural networks. Simulation involves a series of synthetic as well as experimental data used across various neurofuzzy systems. A comparative analysis is included as well.
Keywords
- Self-organizing Neural Networks(SONN);
- Fuzzy Polynomial Neuron(FPN);
- fuzzy rule-based computing;
- GMDH;
- design methodology