Name
Abstract | ||
|---|---|---|
Artificial neural networks (ANN) are being used as one of the prime computing tool for an increasing number of applications. This is due in part to the ANN's ability to adapt to changes via learning. The dynamic nature of many applications as well as the computational and storage requirements of current learning algorithms creates a need for high performance neuro-architectures with learning capabilities. In this paper we identify a set of computational, communication and storage requirements for learning in ANNs. These requirements are representative of a wide variety of algorithms for different learning approaches. We propose a novel neuro-emulator that provides the computational ability for the stated requirements. While meeting all the identified requirements the new architecture maintains a high performance during learning. To show the capabilities of the proposed machine we present four diverse learning algorithms and step through the execution of each using the proposed architecture. We include an evaluation of the machine performance as well as a comparison with other architectures. It is shown that with a modest amount of hardware the proposed architecture yields an extremely high number of connections per second. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1016/S1383-7621(98)00032-0 | Journal of Systems Architecture |
Keywords | Field | DocType |
embedded capability,parallel systems,generalized learning,neural networks,computer architecture,learning algorithms,high performance computing,neural network,artificial neural network | Instance-based learning,Active learning (machine learning),Computer science,Real-time computing,Artificial intelligence,Computational learning theory,Artificial neural network,Online machine learning,Computer architecture,Architecture,Multi-task learning,Supercomputer,Machine learning | Journal |
Volume | Issue | ISSN |
45 | 14 | Journal of Systems Architecture |
Citations | PageRank | References |
1 | 0.56 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valentine C. Aikens, II | 1 | 1 | 0.56 |
| José G. Delgado-frias | 2 | 91 | 29.03 |
| Gerald G. Pechanek | 3 | 20 | 5.34 |
| Stamatis Vassiliadis | 4 | 2007 | 227.06 |