Name
Abstract | ||
|---|---|---|
A generalization of an artificial neuron is introduced in this paper. Called the queron, this abstraction is the basic computational node of Queral Networks (QN). QNs are introduced as a parallel architecture expected to be an improvement upon Artificial Neural Networks (ANN). The fundamental properties of QNs are presented here: reusability, complexity management and human-readability. It is expected that this proposed architecture will allow the engineering of large, highly parallel computer systems with the computational benefits of ANNs while overcoming the challenge of developing ANNs. A brief case study is given to illustrate the QN concept. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ECBS.2011.27 | Engineering of Computer Based Systems |
Keywords | Field | DocType |
brief case study,artificial neural networks,parallel architecture,queral networks,large artificial neural networks,parallel computer system,artificial neuron,proposed architecture,computational benefit,basic computational node,qn concept,evolutionary computing,neural nets,evolutionary computation,artificial neural network,parallel computer,computation theory,computability theory,meteorology | Abstraction,Computer science,Artificial neuron,Evolutionary computation,Artificial intelligence,Artificial neural network,Complexity management,Reusability,Automatic programming,Theory of computation | Conference |
ISBN | Citations | PageRank |
978-0-7695-4379-6 | 0 | 0.34 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Travis A. Hoffman | 1 | 0 | 0.34 |
| Jerzy W. Rozenblit | 2 | 265 | 65.20 |
| Ali Akoglu | 3 | 157 | 29.40 |
| liana suantak | 4 | 13 | 2.29 |