Supplementary Material for Robust Two-Stage Sparse Denoising Autoencoder and Elastic Net Extreme Learning Machine for Industrial Gas-Phase Ethylene Polymerization Processes

Published: 16 November 2020| Version 1 | DOI: 10.17632/t7prmcwrsz.1
Contributors:
Thirasit Kusolsongtawee, Pornchai Bumroongsri

Description

This material contains the additional predicted results of the industrial gas-phase ethylene polymerization process by using ELM, RELM, WRELM and proposed robust two-stage SDAE-ENELM in the presence of noises and outliers for article "Robust Two-Stage Sparse Denoising Autoencoder and Elastic Net Extreme Learning Machine for Industrial Gas-Phase Ethylene Polymerization Processes".

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Institutions

  • Mahidol University

Categories

Chemical Engineering, Artificial Intelligence, Industrial Chemistry, Machine Learning, Polymerization, Robust Modeling, Polyethylene

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