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Multi-output Gaussian Process Regression Model with Combined Kernel Function for Polyester Esterification Processes

WANG Hengqian GENG Junxian CHEN Lei

东华大学学报（英文版）2023，Vol.40Issue(1)：27-33,7.

东华大学学报（英文版）2023，Vol.40Issue(1)：27-33,7.DOI:10.19884/j.1672-5220.202111009

Multi-output Gaussian Process Regression Model with Combined Kernel Function for Polyester Esterification Processes

WANG Hengqian ¹GENG Junxian ²CHEN Lei¹

作者信息

1. Engineering Research Center of Digitized Textile & Apparel Technology,Ministry of Education,Donghua University,Shanghai 201620,China
2. College of Information Science and Technology,Donghua University,Shanghai 201620,China
折叠

摘要

关键词

seasonal and trend decomposition using loess(STL)/multi-output Gaussian process regression/combined kernel function/polyester esterification process

Key words

seasonal and trend decomposition using loess(STL)/multi-output Gaussian process regression/combined kernel function/polyester esterification process

分类

化学化工

引用本文复制引用

WANG Hengqian,GENG Junxian,CHEN Lei..Multi-output Gaussian Process Regression Model with Combined Kernel Function for Polyester Esterification Processes[J].东华大学学报（英文版）,2023,40(1):27-33,7.

基金项目

Natural Science Foundation of Shanghai,China(No.19ZR1402300) （No.19ZR1402300）

东华大学学报（英文版）

ISSN：1672-5220

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