Application of projection pursuit in gas emission predictio

In view of problem of data information lost and low prediction accuracy caused by common descending dimension methods for gas monitoring data in gas emission prediction, high dimensional sample data is transformed into one-dimensional projection data by combining principle of projection pursuit with...

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Main Authors: WANG Jiangrong, LUO Ziqin, ZHAO Rui
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2015-04-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.04.022
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author WANG Jiangrong
LUO Ziqin
ZHAO Rui
author_facet WANG Jiangrong
LUO Ziqin
ZHAO Rui
author_sort WANG Jiangrong
collection DOAJ
description In view of problem of data information lost and low prediction accuracy caused by common descending dimension methods for gas monitoring data in gas emission prediction, high dimensional sample data is transformed into one-dimensional projection data by combining principle of projection pursuit with differential evolution algorithm, and a gas emission prediction model which adopts sum of sine function is established by use of Matlab curve fitting toolbox. The experimental results show that the model has higher prediction precision and operability.
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spelling doaj.art-0abefe37ea4b41faa8d786ff63a2fbbb2023-03-17T01:46:53ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2015-04-01414879010.13272/j.issn.1671-251x.2015.04.022Application of projection pursuit in gas emission predictioWANG Jiangrong0LUO Ziqin1ZHAO Rui2Department of Information Processing and Control Engineering, Lanzhou Petrochemical College of Vocational Technology, Lanzhou 730060, ChinaDepartment of Petroleum Chemical Engineering, Lanzhou PDepartment of Information Processing and Control Engineering, Lanzhou Petrochemical College of Vocational Technology, Lanzhou 730060, ChinaIn view of problem of data information lost and low prediction accuracy caused by common descending dimension methods for gas monitoring data in gas emission prediction, high dimensional sample data is transformed into one-dimensional projection data by combining principle of projection pursuit with differential evolution algorithm, and a gas emission prediction model which adopts sum of sine function is established by use of Matlab curve fitting toolbox. The experimental results show that the model has higher prediction precision and operability.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.04.022gas emissionprediction modelprojection pursuitdifferential evolution algorithmcurve fitting
spellingShingle WANG Jiangrong
LUO Ziqin
ZHAO Rui
Application of projection pursuit in gas emission predictio
Gong-kuang zidonghua
gas emission
prediction model
projection pursuit
differential evolution algorithm
curve fitting
title Application of projection pursuit in gas emission predictio
title_full Application of projection pursuit in gas emission predictio
title_fullStr Application of projection pursuit in gas emission predictio
title_full_unstemmed Application of projection pursuit in gas emission predictio
title_short Application of projection pursuit in gas emission predictio
title_sort application of projection pursuit in gas emission predictio
topic gas emission
prediction model
projection pursuit
differential evolution algorithm
curve fitting
url http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.04.022
work_keys_str_mv AT wangjiangrong applicationofprojectionpursuitingasemissionpredictio
AT luoziqin applicationofprojectionpursuitingasemissionpredictio
AT zhaorui applicationofprojectionpursuitingasemissionpredictio