A chaotic time series prediction algorithm using asymmetric functions

摘要

To connect prediction functions with physical phenomena,we designed two shape-variable functions to improve the adaptability of a prediction algorithm for asymmetric distributed chaotic signals.An adjustable parameter controls the shape of the presented functions.In simulation,we proved that if the chaotic series are asymmetric,the best performance appears when the shape of the basis function is similar with the shape of density functions.