A new nonlinear neural network for solving convex nonlinear programming problems

摘要

This paper presents a new recurrent neural network for solving convex nonlinear programming problems. The new model is simpler and more intuitive than existing models and converge very fast to exact solution of the original problem. We show that this new model is asymptotically stable.