Global convergence rate of recurrently connected neural networks.
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.
Chen
Tianping
T
Laboratory of Nonlinear Mathematics Science, Institute of Mathematics, Fudan University, Shanghai, China. tchen@fudan.edu.cn
Lu
Wenlian
W
Amari
Shun-ichi
S