作者: Dominique Guégan , Justin Leroux
DOI: 10.1016/J.CHAOS.2008.09.017
关键词:
摘要: We propose a novel methodology for forecasting chaotic systems which is based on exploiting the information conveyed by local Lyapunov exponents of system. This used to correct inevitable bias most non-parametric predictors. Using simulated data, we show that gains in prediction accuracy can be substantial.