The neighbor point selection method for local prediction based on information criterion
基于信息准则的局域预测法邻近点的选取方法

The number of nearest neighbor points is an important parameter for the local prediction method, which has an important impact on the prediction accuracy and computation complexity of the local model. Based on the information criterion, the neighbor point selection method for the local prediction method is proposed in this paper. We illustrate this method by analyzing chaotic time series from Lorenz model and the experimental laser data- Santa Fe Data A. Simulation results show that using the proposed method to select neighbor points, the one-step and multi-step prediction accuracy of the local prediction method is good, and the computation complexity is reduced.