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A New Fuzzy Neural Network Model Based on T-S Logic(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2006年03期
Page:
51-55
Research Field:
Publishing date:

Info

Title:
A New Fuzzy Neural Network Model Based on T-S Logic
Author(s):
JIANG Changyuan~1; ZHU Qingbao~2
1.Faculty of Science,Huzhou Teachers College,Huzhou 313000,China;2.School of Mathematics and Computer Science,Nanjing Normal University,Nanjing 210097,China
Keywords:
fuzzy log ic;  fuzzy neural ne tw ork;  T- S log ic
PACS:
TP183
DOI:
-
Abstract:
Fuzzy neural ne tw ork, com posed o f the neura l netw ork and fuzzy log ic system, is good a t self- learn ing and sel-f tun ing. A ccording to the inner re la tionsh ip betw een the neural ne tw ork and fuzzy log ic inference, a new fuzzy neura l netw ork can be ob tained w ith e ffective algor ithm and structure. It can be proved to approx im ate a t any deg ree of accuracy to any rea l con tinuous function in a compact dom ain by using the famous S tone-W e irstrass law. The sim ulation shows that them odel is effective and feasible.

References:

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Last Update: 2013-04-29