Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model
Sign Up to like & getrecommendations! Published in 2018 at "Chaos"
DOI: 10.1063/1.5028373
Abstract: A model-based approach to forecasting chaotic dynamical systems utilizes knowledge of the mechanistic processes governing the dynamics to build an approximate mathematical model of the system. In contrast, machine learning techniques have demonstrated promising results… read more here.
Keywords: machine learning; knowledge; model; forecasting chaotic ... See more keywords
Forecasting the chaotic dynamics of external cavity semiconductor lasers.
Sign Up to like & getrecommendations! Published in 2023 at "Optics letters"
DOI: 10.1364/ol.480874
Abstract: Chaotic time series prediction has been paid intense attention in recent years due to its important applications. Herein, we present a single-node photonic reservoir computing approach to forecasting the chaotic behavior of external cavity semiconductor… read more here.
Keywords: cavity semiconductor; forecasting chaotic; semiconductor lasers; semiconductor ... See more keywords