The synchronous BEG neural network with variable dilution
| dc.creator | Bollé, D. | |
| dc.creator | Blanco, J. Busquets | |
| dc.date | 2005-05-12 | |
| dc.date.accessioned | 2026-07-25T15:51:32Z | |
| dc.description | The thermodynamic and retrieval properties of the Blume-Emery-Griffiths neural network with synchronous updating and variable dilution are studied using replica mean-field theory. Several forms of dilution are allowed by pruning the different types of couplings present in the Hamiltonian. The appearance and properties of two-cycles are discussed. Capacity-temperature phase diagrams are derived for several values of the pattern activity. The results are compared with those for sequential updating. The effect of self-coupling is studied. Furthermore, the optimal combination of dilution parameters giving the largest critical capacity is obtained. | |
| dc.description | 10 pages in Latex, 15 postscript figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0505326 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0505326 | |
| dc.identifier.uri | https://dspace.dare.co.zw/handle/123456789/37561 | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.title | The synchronous BEG neural network with variable dilution | |
| dc.type | text |