High-speed division unit using asymmetric neural network architecture

A neural network with symmetric synaptic connections has been shown to be an effective computational unit. However, this model does not always guarantee global convergence nor yield a fast settling time. An asymmetric model without these problems is introduced and a high-speed divider illustrates its computational capabilities.