Title :
A rule based fuzzy-neural network
Author :
Xiaobei, Wu ; Zhiliang, Xu ; Lei, Shi ; Weiqing, Yu
Author_Institution :
Nanjing Univ. of Sci. & Technol., China
Abstract :
In order to solve the contradictions between the accuracy and the number of sub-spaces in general fuzzy systems, the paper proposes a rule based fuzzy-neural network. It uses several rules that describe the system´s main characteristics, and represents the system to a certain degree. Finally, it completes creating the rules and refining the parameters
Keywords :
fuzzy neural nets; unsupervised learning; fuzzy partition; fuzzy rules; fuzzy-neural network; parameter refinement; rule based neural network; self organising learning; Fuzzy systems;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862747
