Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model

@article{Pathak2018HybridFO,
  title={Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model},
  author={Jaideep Pathak and Alexander Wikner and Rebeckah Fussell and Sarthak Chandra and Brian R. Hunt and Michelle Girvan and Edward Ott},
  journal={Chaos},
  year={2018},
  volume={28 4},
  pages={
          041101
        }
}
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 for forecasting chaotic systems purely from past time series measurements of system state variables (training data), without prior knowledge of the system dynamics. The motivation for this paper is the potential of machine… 

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