Prediction of Process Trends Based on Neural Networks

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Prediction of Process Trends Based on Neural Networks

TENG Hu; DU Hongbin; YAO Pingjing

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

基于神经网络的过程趋势预测

滕虎; 杜红彬; 姚平经

Institute of Process Systems Engineering, Dalian University of Technology, Dalian 116012,
China

通讯作者: 滕虎

Abstract

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

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

TENG Hu, DU Hongbin, YAO Pingjing. Prediction of Process Trends Based on Neural Networks [J]. .

滕虎, 杜红彬, 姚平经. 基于神经网络的过程趋势预测[J]. CIESC Journal.

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