Convergence and stability study of Hopfield´s neural network for linear programming

Parameters that affect stability and convergence of the Hopfield model were identified by simulation. The Hopfield model used to solve optimization problems was defined by an analog electrical circuit. The authors illustrate that by introducing one additional amplifier a convergence with a good stability can be obtained. It is shown that convergence and stability can be obtained without oscillations. This novel model was used to solve a linear programming problem. Some results are presented