Paper
1 March 1991 Neural networks implementation on a parallel machine
Chung Ching Wang, Behrooz A. Shirazi
Author Affiliations +
Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.25811
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States
Abstract
As more supporting theory and applications for neural nets are being developed the hardware implementation of neural nets becomes more important. However most of the existing hardware implementations of neural nets suffer from various weaknesses. Such problems range from inadequate support for parallelism to high communication overhead. In this paper we propose the design of a dataflow-based multiprocessor system for efficiently implementmg asynchronous highly parallel neural nets. L
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chung Ching Wang and Behrooz A. Shirazi "Neural networks implementation on a parallel machine", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); https://doi.org/10.1117/12.25811
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KEYWORDS
Neural networks

Data modeling

Neurons

Computing systems

Optical engineering

Analog electronics

Computer engineering

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