Title :
Exponential Synchronization of Fuzzy Neural Networks with Distributed Delays and Time-Varying Coefficients
Author :
Jing Wang ; Manchun Tan
Author_Institution :
Dept. of Math., Jinan Univ., Guangdong, China
Abstract :
Exponential synchronization is considered for a class of fuzzy neural networks with distributed delays and time-varying coefficients. By applying Dini derivative and introducing many real parameters, and estimating the upper bound of function, some sufficient conditions on the exponential synchronization of fuzzy neural networks are established. An example is given to show the result of this paper is feasible and superior.
Keywords :
cellular neural nets; delays; fuzzy neural nets; synchronisation; Dini derivative; distributed delays; exponential synchronization; fuzzy neural networks; time-varying coefficients; Artificial neural networks; Cellular neural networks; Chaos; Delay; Fuzzy neural networks; Physics; Synchronization; Dini derivative; Distributed delays; Exponential synchronization; Time-varying coefficients;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.47