Neural networks implementation on a parallel machine
Chung Ching Wang, Behrooz Shirazi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
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