Abstract: This paper presents a dual neural network which is globally exponential convergence for solving quadratic programming problems based on linear equation, inequation and bounded constraint. Compared with other neural network models which contained highorder nonlinear condition, the dual neural network uses less neuron and has simpler structure. Finally, numerical tests show the validity of the model.

Key words: neural network, quadratic programming problems, expon ential convergence