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.

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