Title : ( PROPERTIES OF BIFURCATING PERIODIC SOLUTIONS IN A DELAYED FIVE-NEURON BAM NEURAL NETWORK MODEL )
Authors: Elham Javidmanesh ,
Full TextAbstract
In this paper, some properties of the bifurcating peri- odic solutions in a bidirectional associative memory (BAM) neural network model will be studied. The model considered consists of two neurons in the X-layer and three neurons in the Y-layer with two time delays. In fact, the direction and the stability of bi- furcating periodic solutions on the center manifold are discussed. Furthermore, the formula of period will be resulted.
Keywords
Hopf bifurcation; center manifold; stability; neural network
@inproceedings{paperid:1041728,
author = {Javidmanesh, Elham},
title = {PROPERTIES OF BIFURCATING PERIODIC SOLUTIONS IN A DELAYED FIVE-NEURON BAM NEURAL NETWORK MODEL},
booktitle = {چهل و چهارمین کنفرانس ریاضی ایران},
year = {2013},
location = {مشهد, IRAN},
keywords = {Hopf bifurcation; center manifold; stability; neural network},
}
%0 Conference Proceedings
%T PROPERTIES OF BIFURCATING PERIODIC SOLUTIONS IN A DELAYED FIVE-NEURON BAM NEURAL NETWORK MODEL
%A Javidmanesh, Elham
%J چهل و چهارمین کنفرانس ریاضی ایران
%D 2013
