• DocumentCode
    3575987
  • Title

    Parameters selection method of the leaky integrator echo state network for time series

  • Author

    Xianshuang Yao ; Shuxian Lun

  • Author_Institution
    Coll. of Eng., Bohai Univ. Jinzhou, Jinzhou, China
  • fYear
    2014
  • Firstpage
    1288
  • Lastpage
    1293
  • Abstract
    In this paper, we present a relation of the parameters selection of the Echo State Network (ESN), thus we can obtain the optimal performance of ESN. The parameters include mainly the leaking rate (μ), the spectral radius (μμ) and the size (μ) of reservoir units. For the limited length of a training sequence, a formulation of ESN parameters is developed to improve the training and testing accuracy and efficiency of ESN. Simulation experiments demonstrate that the formulation is valid.
  • Keywords
    mathematics computing; recurrent neural nets; time series; ESN; echo state network; leaking rate; parameter selection method; reservoir unit size; spectral radius; time series; training sequence; Autoregressive processes; Data models; Mathematical model; Recurrent neural networks; Reservoirs; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Control (ICMC), 2014 International Conference on
  • Print_ISBN
    978-1-4799-2537-7
  • Type

    conf

  • DOI
    10.1109/ICMC.2014.7231760
  • Filename
    7231760