A neural learning approach for a data-driven nonlinear error correction model

HIGHLIGHTS

  • who: Xi Fang from the School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China have published the Article: A Neural Learning Approach for a Data-Driven Nonlinear Error Correction Model, in the Journal: Computational Intelligence and Neuroscience of 23/01/2023
  • what: In this paper, a data-driven neural_network learning method is developed to describe the nonlinear linkage relationship between time series by using the nonlinear expression ability of neural_networks.
  • how: Te daily data of gold price and the the authors dollar index in 2021 were used to verify . . .

     

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