Title :
Some New Criterions for Stability of Hopfield Type Neural Network Systems Based on Subpositive Definite Matrices
Author :
Liu, Feng ; Wang, Jiangshu
Author_Institution :
Dept. of Basic Courses, Jiangsu Teachers Univ. of Technol., Changzhou
Abstract :
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
Keywords :
Hopfield neural nets; matrix algebra; stability; Hopfield type neural network systems; stability; subnegative definite matrix; subpositive definite matrix; Automation; Electronic mail; Hopfield neural networks; Intelligent control; Neural networks; Stability criteria; User-generated content; Hopfield type neural network systems; Subpositive definite matrices (subnegative definite matrix); stability;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712852
