Title : ( Bifurcation analysis of a cellular nonlinear network model via neural network approach )
Authors: Elham Javidmanesh , Zahra Afsharnejad , Sohrab Effati ,
دانلود فایل برای اعضای دانشگاهAccess to full-text not allowed by authors
Abstract
In this paper, receptor-based cellular nonlinear network model is studied. By applying neural network method, the ordinary differential equations being equivalent to the partial differential equations of the model are resulted. Also, the bifurcation analysis of the transformed system is presented. To support our theoretical results, some numerical examples are given.
Keywords
, Neural network, Bifurcation theory, Orthogonal polynomials, Fold bifurcation
@article{paperid:1035545,
author = {Javidmanesh, Elham and Afsharnejad, Zahra and Effati, Sohrab},
title = {Bifurcation analysis of a cellular nonlinear network model via neural network approach},
journal = {Neural Computing and Applications},
year = {2013},
volume = {24},
number = {5},
month = {September},
issn = {0941-0643},
pages = {1147--1152},
numpages = {5},
keywords = {Neural network; Bifurcation theory;
Orthogonal polynomials; Fold bifurcation},
}
%0 Journal Article
%T Bifurcation analysis of a cellular nonlinear network model via neural network approach
%A Javidmanesh, Elham
%A Afsharnejad, Zahra
%A Effati, Sohrab
%J Neural Computing and Applications
%@ 0941-0643
%D 2013
