Title :
Stability analysis on continuous neural networks with slowly synapse-varying structure
Author :
Zeng, Huanglin ; Yu, Juebang ; He, Guiqing
Author_Institution :
Sichuan Inst. of Light Ind. & Chem. Technol., Zigong, China
Abstract :
A neural network with slowly synapse-varying structure is a nonlinear time-varying system. A linearization method for analyzing dynamics of such networks is given, their stability is investigated, and some results that are instructive for developing adaptive study systems are presented
Keywords :
neural nets; nonlinear systems; stability; time-varying systems; adaptive study systems; continuous neural networks; linearization method; nonlinear time-varying system; slowly synapse-varying structure; stability; Adaptive systems; Biological neural networks; Chemicals; Equations; Helium; Neural networks; Neurons; Nonlinear dynamical systems; Stability analysis; Time varying systems;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.229918
