Name
Abstract | ||
|---|---|---|
One of the main problems in neural net implementation is how to take the information from the processing units where it is generated to other processing units, in order for the net to carry on the computation and eventually yield a result. This problem is significant enough to influence the whole physical design, thus we find a wide choice of solutions. This paper's two proposals come from the rising field of wireless communications: CDMA and TDMA. Both principles were established long time ago, but they have acquired a renewed presence due to the rapidly increasing mobile phones demand. We are going to see how CDMA and TDMA could apply to neural nets, by means of currently available technology, if we give up the concept 驴connection驴 between units and grasp the concept 驴messages驴 exchanged between them, to open the door to neural nets with higher number of processing units and flexible configuration. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1142/S0129065701000679 | International journal of neural systems |
Keywords | Field | DocType |
wireless communications,message exchange,tdma,code division multiple access,time division multiple access,cdma,neural nets | GRASP,Wireless,Computer science,Multi-frequency time division multiple access,Computer network,Cellular network,Physical design,Artificial neural network,Time division multiple access,Code division multiple access | Conference |
Volume | Issue | ISSN |
11 | 3 | 0129-0657 |
ISBN | Citations | PageRank |
0-7695-0856-1 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Carlos Herrero | 1 | 17 | 3.42 |
| JC Herrero | 2 | 0 | 0.34 |