Title :
A hierarchical neuro-fuzzy system based on S-implications
Author :
Nowicki, Robert ; Scherer, Rafal ; Rutkowski, Leszek
Author_Institution :
Dept. of Comput. Eng., Tech. Univ. Czestochowa, Poland
Abstract :
In this paper, we present a neuro-fuzzy structure of the hierarchical prioritized structure (HPS) proposed by Yager. The HPS allows for easy hierarchization of a fuzzy rule-base. Our neuro-fuzzy system can be learned by the backpropagation algorithm and is relatively computationally efficient.
Keywords :
backpropagation; fuzzy neural nets; hierarchical systems; S-implications; backpropagation algorithm; computationally efficient algorithm; fuzzy rule-base; hierarchical neuro-fuzzy system; hierarchical prioritized structure; Artificial intelligence; Backpropagation algorithms; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Hierarchical systems; Telephony;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223365
