FPGA implementations of neural networks
During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attr...
Enregistré dans:
| Autres auteurs: | , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Boston, MA :
Springer US
[20..].
Cham : Springer Nature |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • FPGA implementations of neural networks, edited by Amos R. Omondi,... and Jagath C. Rajapakse,..., Dordrecht, Springer, 2006, 1 vol. (XII, 360 p.), 0-387-28485-0 |
Table des matières:
- FPGA Neurocomputers On the Arithmetic Precision for Implementing Back-Propagation Networks on FPGA: A Case Study FPNA: Concepts and Properties FPNA: Applications and Implementations Back-Propagation Algorithm Achieving 5 Gops on the Virtex-E FPGA Implementation of Very Large Associative Memories FPGA Implementations of Neocognitrons Self Organizing Feature Map for Color Quantization on FPGA Implementation of Self-Organizing Feature Maps in Reconfigurable Hardware FPGA Implementation of a Fully and Partially Connected MLP FPGA Implementation of Non-Linear Predictors The REMAP Reconfigurable Architecture: A Retrospective