A VLSI hardware neural accelerator using reduced precision arithmetic
Z. F. Butler · ERA · 1990
A synthetic neural network is a massively parallel array of computational units (neurons) that captures some of the functionality and computational strengths of the brain.The functions that it may have are the ability to consider many solutions simultaneously, the ability to work with corrupted or incomplete data without any form of error correction and a natural fault tolerance, which is acquired from the parallelism and the representation of knowledge in a distributed fashion giving rise to graceful degradation as faults appear.