Title :
Convergence analysis of background neural networks with two subnetworks
Author :
Xu, Fang ; Zhang, Lei ; Qu, Hong
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
The convergence of background neural networks with two identical, unstructured subnetworks that inhibit each other is studied. The convergence properties include global attractivity and complete stability analysis. Furthermore, it shows that shifting the background level affects the existence and stability of the equilibrium point. Adding noise to the networks, it will fluctuate around an equilibrium point.
Keywords :
convergence; neural nets; stability; background neural networks; complete stability analysis; convergence analysis; global attractivity; subnetworks; Biological neural networks; Computational intelligence; Computer science; Convergence; Hydrogen; Laboratories; Neural networks; Neurons; Stability analysis; Switches;
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
DOI :
10.1109/ICCIS.2008.4670913
