Melt index prediction of polypropylene based on GMC(1,N)model

WANG Mingxu; LIU Xinggao

doi:10.3969/j.issn.0438-1157.2013.05.029

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Melt index prediction of polypropylene based on GMC(1,N)model

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- Melt index prediction of polypropylene based on GMC(1,N)model
- CIESC Journal Issue 5, Pages: 1717-1722(2013)
- 作者机构：
  
  浙江大学控制系, 工业控制技术国家重点实验室,浙江,杭州,310027
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2013.05.029
  CLC： P274
- Online First：05 May 2013，
  
  Published：05 May 2013
- 稿件说明：
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WANG Mingxu, LIU Xinggao. Melt index prediction of polypropylene based on GMC(1,N)model[J]. CIESC Journal, 2013, (5): 1717-1722.
DOI：

WANG Mingxu, LIU Xinggao. Melt index prediction of polypropylene based on GMC(1,N)model[J]. CIESC Journal, 2013, (5): 1717-1722. DOI： 10.3969/j.issn.0438-1157.2013.05.029.

摘要

Abstract

Melt index(MI)is the most important parameter in determining polypropylene’s specifications and also the key of quality control.Considering the continuity of the polypropylene production process and the characteristics of gray prediction model

a new GMC(1

N)melt index prediction model is proposed in this paper to infer the MI of polypropylene from other process variables

which shows good applicability. Furthermore

a back propagation network is built to correct the residual of the model and the GMC(1

N)-BP model is improved with better precision.Standard SVM(support vector machines)

LS-SVM and weighted LS-SVM model are taken for comparison.A practical polypropylene industrial process is taken as case study.The results show that the proposed improved model achieves good results in practical melt index prediction.

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Related Author

JIANG Huaqin

ZHAO Chengye

LIU Xinggao

JIANG Huaqin

LIU Xinggao

Related Institution

State Key Laboratory of Industrial Control Technology, Control Department, Zhejiang University

浙江大学控制系工业控制技术国家重点实验室

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