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New theorems on global convergence of some dynamical systems
1Department of Mathematics, Fudan University, Shanghai, PR, China. tchen@fudan.edu.cn
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.