  A single layer neural network for the solution of linear equations is
presented. The proposed circuit is based on the standard Hopfield model albeit
with the added flexibility that the interconnection weight matrix need not be
symmetric. This results in an asymmetric Hopfield neural network capable of
solving linear equations. PSPICE simulation results are given which verify the
theoretical predictions. Experimental results for circuits set up to solve
small problems further confirm the operation of the proposed circuit.
