Analysis of Chaotic Time Series Prediction Based on GRNN

摘要

As a new radial basis neural network, GRNN is easier to train and has better ability of function approach. In this paper, the prediction, the modeling and the decomposition of chaotic time series with GRNN are analyzed and good foundations of weak signal detecting in chaotic background adopting GRNN is established.