Wei Jianping, Li Huade, Yu Datai, Feng Yang. Modeling for A Complicated Industrial Object Based on Recurrent Neural Network[J]. Chinese Journal of Engineering, 1999, 21(4): 406-408. DOI: 10.13374/j.issn1001-053x.1999.04.025
Citation: Wei Jianping, Li Huade, Yu Datai, Feng Yang. Modeling for A Complicated Industrial Object Based on Recurrent Neural Network[J]. Chinese Journal of Engineering, 1999, 21(4): 406-408. DOI: 10.13374/j.issn1001-053x.1999.04.025

Modeling for A Complicated Industrial Object Based on Recurrent Neural Network

  • The architecture and algorithm of a kind of dynamical neural network, Elman recurrent neural network (RNN)were dicussed. Based on this network, an approach of modeling for nonlinear time-varying industrial object, direct current arc, was proposed. Compared with other modeling method for the object, the model based on RNN is proved to have better performance.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return