CIESC Journal

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基于神经网络的过程趋势预测

滕虎; 杜红彬; 姚平经   

  1. Institute of Process Systems Engineering, Dalian University of Technology, Dalian 116012,
    China
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2002-06-28 发布日期:2002-06-28
  • 通讯作者: 滕虎

Prediction of Process Trends Based on Neural Networks

TENG Hu; DU Hongbin; YAO Pingjing   

  1. Institute of Process Systems Engineering, Dalian University of Technology, Dalian 116012,
    China
  • Received:1900-01-01 Revised:1900-01-01 Online:2002-06-28 Published:2002-06-28
  • Contact: TENG Hu

摘要: In order to catch more process details in chemical processes, a dynamic model for
prediction of process trends is proposed by modifying traditional time-series ANN
(artificial neural networks) model with impulse response identification means. The
application result of the model is briefly discussed.

关键词: time-series neural network;dynamic models

Abstract: In order to catch more process details in chemical processes, a dynamic model for
prediction of process trends is proposed by modifying traditional time-series ANN
(artificial neural networks) model with impulse response identification means. The
application result of the model is briefly discussed.

Key words: time-series neural network, dynamic models