Name
Abstract | ||
|---|---|---|
In this paper, we demonstrate complex dynamics in a classical Hopfield-type neural network with three neurons. There are no interconnections between the first one and the third one, so it may be a part with ignorable input from a complex neural network. However, the stable points, limit circles, single-scroll chaotic attractors and double-scrolls chaotic attractor have been observed as we adjust the weight from the second neuron to itself. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11427391_56 | ISNN (1) |
Keywords | Field | DocType |
classical hopfield-type neural network,stable point,limit circle,single-scroll chaotic attractors,complex neural network,simple hopfield-type neural network,double-scrolls chaotic attractor,complex dynamic,ignorable input,complex dynamics,neural network | Attractor,Complex dynamics,Computer science,Equilibrium point,Artificial intelligence,Chaotic,Artificial neural network,Hopfield network,Lyapunov exponent,Machine learning | Conference |
Volume | ISSN | ISBN |
3496 | 0302-9743 | 3-540-25912-0 |
Citations | PageRank | References |
3 | 0.54 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingdu Li | 1 | 160 | 26.78 |
| Xiaosong Yang | 2 | 33 | 4.72 |