Optimization calculation is one of the important application fields in Neural Network.This paper proposes a Neural Network computational method of nonlinear programming problems based on precise F-function for the problems of not catering to network size

computational efficiency and accuracy when solving the constraint nonlinear programming problems in current Neural Network.A low order precise F-function of constraint nonlinear programming problems is served as energy function of Neural Network.The dynamics equation of Neural Network is constructed and the clarification of its stability is given by the most rapid decreasing principle of the energy function.Theoretical analysis and computational example emulation show that the proposed Neural Network dynamics equation globally and precisely constringes a local optimization solution of the original programming problems.In particular

the neural network dynamics equation is easy to be mapped as dynamic circuit

which is a Real-time calculation method for engineering optimization problems.