Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation

Abstract

Predicting future values of a short time series remains a challenge. Here, the authors propose an auto-reservoir computing framework, which achieved accurate and robust multistep ahead prediction by transforming high-dimensional data into temporal dynamics.