title: New theorems on global convergence of some dynamical systems.
abstract: 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.
authors.affiliation: Department of Mathematics, Fudan University, Shanghai, PR, China. tchen@fudan.edu.cn
authors.forename: T
authors.initials: T
authors.lastname: Chen
authors.forename: S I
authors.initials: SI
authors.lastname: Amari
mesh_terms: D000465:Algorithms; D016571:Neural Networks, Computer