New theorems on global convergence of some dynamical systems.
In this paper, we discuss dynamical behaviors of recurrently asymmetrically connected neural networks. We propose a new approach to study global convergence of the networks. Better test conditions for global convergence are given.
Chen
T
T
Department of Mathematics, Fudan University, Shanghai, PR, China. tchen@fudan.edu.cn
Amari
S I
SI
D000465:Algorithms; D016571:Neural Networks, Computer