Neural network architecture for solving nonlinear equation systems

A general neural network architecture is derived which can achieve ultrahigh-speed computation in solving large nonlinear equation systems. The computing time required for a solution is independent of the dimension of the equation system which is solved. The approach to solving equation systems by the method reported is very different from that of implementing in software a numerical analysis procedure and solution algorithm.