Name
Abstract | ||
|---|---|---|
This paper analyzes the behavior of Hopfield networks as a method of solving the travelling salesman problem (TSP) with an enhanced formulation of energy function, which is more available than the Hopfield-Tank (H-T) one. The analysis is based on the geometry of the subspace set up by the degenerate eigenvalues of the connection matrix. A set of criterion for parameter settings is derived. The new parameters performed well in the simulations. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11427391_118 | ISNN (1) |
Keywords | Field | DocType |
hopfield network,connection matrix,hopfield neural network,energy function,travelling salesman problem,parameter setting,enhanced formulation,new parameter,theoretical analysis | Degenerate energy levels,Vector space,Subspace topology,Computer science,Matrix (mathematics),Algorithm,Travelling salesman problem,Artificial neural network,Hopfield network,Eigenvalues and eigenvectors | Conference |
Volume | ISSN | ISBN |
3496 | 0302-9743 | 3-540-25912-0 |
Citations | PageRank | References |
1 | 0.38 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Qu | 1 | 238 | 29.27 |
| Zhang Yi | 2 | 1765 | 194.41 |
| Xiao-Lin Xiang | 3 | 5 | 1.52 |