Stability and Stabilization on Generalized Delay Stochastic Neural Network with Distributed Parameter
Inner stability and stabilization of Cohen-Grossberg generalized delay stochastic neural network with distributed parameter are discussed. The main method adopted is, combining inequality techniques, to apply Ito differential formula to the constructed average function with respect to spatial variab...
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Published in | Wuhan University journal of natural sciences Vol. 10; no. 5; pp. 823 - 827 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Springer Nature B.V
2005
College of Science, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China%Institute of Automatic Science and Control Engineering,South China University of Technology, Guangzhou 510640,Guangdong, China%Department of Mathematics, Inner Mongolia Normal University, Huhhot 010022, Inner Mongolia, China |
Subjects | |
Online Access | Get full text |
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Summary: | Inner stability and stabilization of Cohen-Grossberg generalized delay stochastic neural network with distributed parameter are discussed. The main method adopted is, combining inequality techniques, to apply Ito differential formula to the constructed average function with respect to spatial variables along the system considered under the integral operator. Some sufficient conditions are given. |
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Bibliography: | O231.4 TP183 generalized delay stochastic neural network distributed parameter; generalized delay stochastic neural network; stability and stabilization stability and stabilization 42-1405/N distributed parameter |
ISSN: | 1007-1202 1993-4998 |
DOI: | 10.1007/bf02832420 |