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In this paper, a kind of neural network with time-varying delays is proposedto solve the problems of quadratic programming. The delay term of the neuralnetwork changes with time t. The number of neurons in the neural network is n +h, so the structure is more concise. The equilibrium point of the neuralnetwork is consistent with the optimal solution of the original optimizationproblem. The existence and uniqueness of the equilibrium point of the neuralnetwork are proved. Application inequality technique proved global exponentialstability of the network. Some numerical examples are given to show that theproposed neural network model has good performance for solving optimizationproblems.

Stability Analysis of Time-varying Delay Neural Network for Convex Quadratic Programming With Equality Constraints and Inequality Constraints