Aiming at the problems of dispersion regulation and structural parameter optimization in dual-ring resonant dispersion compensation microstructure fiber, a dispersion characteristic prediction method of orbital angular momentum mode based on neural network is proposed in this paper.By designing a multi-layer neural network model and adjusting the number of hidden layers,neurons and super parameters of the neural network,accurate dispersion prediction results are obtained.This proposed method establishes the relationship between fiber structures and dispersion characteristics.Compared with the traditional optical simulation method,this method can calculate the dispersion characteristics for different fiber structures more quickly and efficiently,which could provide a new approach for the design and optimization of fiber structures.