Name
Title | ||
|---|---|---|
Bifurcation analysis of a cellular nonlinear network model via neural network approach. |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s00521-013-1338-6 | Neural Computing and Applications |
Keywords | DocType | Volume |
Neural network, Bifurcation theory, Orthogonal polynomials, Fold bifurcation | Journal | 24 |
Issue | ISSN | Citations |
5 | 1433-3058 | 1 |
PageRank | References | Authors |
0.37 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elham Javidmanesh | 1 | 2 | 0.72 |
| Zahra Afsharnezhad | 2 | 2 | 0.72 |
| Effati Sohrab | 3 | 276 | 30.31 |