Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

December 1, 2002, Vol. 14, No. 12, Pages 2947-2957
(doi: 10.1162/089976602760805359)
© 2002 Massachusetts Institute of Technology
Global Convergence Rate of Recurrently Connected Neural Networks
Article PDF (86.2 KB)
Abstract

We discuss recurrently connected neural networks, investigating their global exponential stability (GES). Some sufficient conditions for a class of recurrent neural networks belonging to GES are given. Sharp convergence rate is given too.