Name
Abstract | ||
|---|---|---|
The aim of this paper is to give a formal definition for mapping neural networks onto data flow graphs. The intention of this research is to show formally that data flow computers can be used to implement neural network models. To do this, we need formal definitions of both data flow graphs and neural networks. Based on these definitions, we generate rules for mapping neural network models onto data flow graphs. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/EURMIC.1996.546365 | EUROMICRO |
Keywords | Field | DocType |
neural network,application software,neural networks,data flow,neural network model,computer architecture,backpropagation,data flow graph,neural nets,concurrent computing,computer networks | Nervous system network models,Computer science,Recurrent neural network,Theoretical computer science,Probabilistic neural network,Types of artificial neural networks,Time delay neural network,Artificial intelligence,Deep learning,Cellular neural network,Data flow diagram | Conference |
Citations | PageRank | References |
1 | 0.35 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aziz Can Yuceturk | 1 | 1 | 0.35 |
| Bernd Klauer | 2 | 50 | 14.36 |
| Stefan Zickenheiner | 3 | 3 | 0.78 |
| Ronald Moore | 4 | 41 | 7.60 |
| Klaus Waldschmidt | 5 | 122 | 30.92 |