基于正定矩阵的Hopfield型神经网络系统稳定性的几个新判据

2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI:10.1109/WCICA.2006.1712852

Feng Liu, Jiangshu Wang

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引用次数: 1

摘要

Hopfield型神经网络系统的稳定性是一个重要的研究问题，许多文章对其进行了较为深入的研究，并在M矩阵和正定矩阵或负定矩阵的基础上建立了一些新的判据。将负定矩阵引入到Hopfield型神经网络系统中，并在较弱的条件下，得到了另一个新的判据

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Some New Criterions for Stability of Hopfield Type Neural Network Systems Based on Subpositive Definite Matrices

Stability of Hopfield type neural network systems is an important research problem, many articles have rather thoroughly researched it, and some new criterions have been established based on M matrix and positive definite matrix or negative definite matrix. In this paper, subpositive definite matrices (subnegative definite matrix) are led into Hopfield type neural network systems, and under relatively weak condition, another new criterions are acquired

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2006 6th World Congress on Intelligent Control and Automation

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