Research on Online Self-Organizational Learning GD-FNN Algorithm by Grading

ZUO Jun; ZHOU Ling; SUN Yamin

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Research on Online Self-Organizational Learning GD-FNN Algorithm by Grading

更新时间：2023-12-11

- Research on Online Self-Organizational Learning GD-FNN Algorithm by Grading
- Acta Scientiarum Naturalium Universitatis SunYatseni Vol. 54, Issue 3, Pages: 26-29(2015)
- 作者机构：
  
  1. 佛山科学技术学院电子与信息工程学院,广东,佛山,528000
  2. 
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015，
  
  Published Online：25 June 2015，
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ZUO Jun, ZHOU Ling, SUN Yamin. Research on Online Self-Organizational Learning GD-FNN Algorithm by Grading. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 54(3):26-29(2015)
DOI：

ZUO Jun, ZHOU Ling, SUN Yamin. Research on Online Self-Organizational Learning GD-FNN Algorithm by Grading. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 54(3):26-29(2015) DOI：

摘要

提出了基于椭圆基函数（EBF）的广义动态模糊神经网络（GDFNN）算法。算法提取的模糊规则具有很好可理解性，可以作为建模工具，也可以作为知识提取的工具。广义动态模糊神经网络由于基于模糊ε-完备性，同时提出了一种新颖的在线参数分配机制，从而缓解了初始化的随机选择，且与输入变量不同值域没有关系，因而更容易构造一个较好性能的模糊系统。开发了仿真程序，对具体案例进行仿真，取得了较为理想的结果。

Abstract

General dynamic fuzzy neural network (GD-FNN) algorithm is proposed based on the elliptic basis function (EBF). Fuzzy rules generated from the algorithm are intelligibility. It can be used as a modeling tool. and a tool of knowledge extraction. Because of a novel on-line parameter allocation mechanism for allevialing the random selection in initialization without relation to different input variable range

the proposed GD-FNN based on fuzzy ε-completeness is more easy to construct a good fuzzy system in performance.The simulation program is also developed based on the GD-FNN algorithm and ideal results are achieved by simulation in specific design case.

关键词

广义动态模糊神经网络动态模糊神经网络径向基函数椭圆基函数

Keywords

generalized dynamic fuzzy neural network(GD-FNN)dynamic fuzzy neural network(D-FNN)radial basis function(RBF)elliptic basis function(EBF)

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Related Author

HE Zhengfeng

ZHANG Defeng

SUN Yamin

Related Institution

School of Science, Foshan University

Department of Computer, Foshan University

School of Computer and Technololgy, Nanjing University of Science and Technology

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