Dissertation > Mathematical sciences and chemical > Mathematics > Geometry, topology > Topology ( the situation in geometry )

Reserch of Stability for a Class of Neural Networks with Constant Delays

Author ZhangGuoGuang
Tutor WangLinShan
School Ocean University of China
Course Applied Mathematics
Keywords Delay The local recursive Pan neural network The static recursive Pan neural network Global asymptotic stability Global Robust Stability Exponential Stability
CLC O177;O189
Type Master's thesis
Year 2011
Downloads 17
Quotes 0
Download Dissertation

In this paper, the stability of a class of delayed neural network model . The full text is divided into three chapters: Chapter often Delay network global asymptotic stability . Lyapunov functional method and degree theory to prove the global asymptotic stability of the network . Examples illustrate the validity of the conclusions of this chapter . Chapter II Global Robust Stability interval often Delay network constructed Lyapunov functional and inequality , given a sufficient condition to determine the type of network Global Robust Stability . Chapter summary and outlook and planning on the next step of the research .

Related Dissertations
More Dissertations