16 September 1992 Rapid prototyping of neural network applications
Author Affiliations +
Abstract
The NNSIM development environment for neural networks aims to cover the path from abstract design to silicon realizations. In the paper, some of the underlying concepts are outlined. From a discussion on the relation between design and prototyping, two digital neural network implementation styles are introduced. Subsequently, the impact of area/time trade- offs on the architecture is analyzed. Finally, the required extensions to NNSIM are listed and a typical application is briefly reviewed.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Neusser, S. Neusser, B. Schonewille, B. Schonewille, L. Spaanenburg, L. Spaanenburg, P. J.H. Spekreijse, P. J.H. Spekreijse, } "Rapid prototyping of neural network applications", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.140053; https://doi.org/10.1117/12.140053
PROCEEDINGS
12 PAGES


SHARE
RELATED CONTENT

New dimensions in D-STOP neural systems
Proceedings of SPIE (November 08 1993)
Step-by-step design of a gain-adjustable neuron cell
Proceedings of SPIE (June 30 1992)
Survey of neural network hardware
Proceedings of SPIE (April 05 1995)
Neural network system for traffic flow management
Proceedings of SPIE (September 15 1992)

Back to Top