Imperial College London


Faculty of EngineeringDepartment of Chemical Engineering

Reader in Process Systems Engineering



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BibTex format

author = {Graciano, JEA and Giudici, R and Alves, RMB and Chachuat, B},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-444-64241-7.50065-3},
pages = {421--426},
title = {A simple PLS-based approach for the construction of compact surrogate models},
url = {},
year = {2018}

RIS format (EndNote, RefMan)

AB - © 2018 Elsevier B.V. This work describes a simple algorithm based on partial least square (PLS) to enable the construction of surrogate models using a single tuning parameter. The proposed algorithm is illustrated with the case study of a membrane module for natural gas sweetening, where a mechanistic model is used as data generator. The effect of the tuning parameter is analysed, and it is shown that this parameter captures the trade-off between the surrogates’ accuracy and their complexity (number of terms). The algorithm performance is also compared with four different approaches from the literature, showing a similar performance.
AU - Graciano,JEA
AU - Giudici,R
AU - Alves,RMB
AU - Chachuat,B
DO - 10.1016/B978-0-444-64241-7.50065-3
EP - 426
PY - 2018///
SP - 421
TI - A simple PLS-based approach for the construction of compact surrogate models
T1 - Computer Aided Chemical Engineering
UR -
ER -