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Volume 21 Issue 4
Aug.  2021
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Article Contents
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

doi: 10.13374/j.issn1001-053x.1999.04.025
  • Received Date: 1998-12-03
    Available Online: 2021-08-27
  • 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.

     

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      沈陽化工大學材料科學與工程學院 沈陽 110142

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