The use of artificial neural network (ANN) in dry flue gas desulphurization modelling: Levenberg–Marquardt (LM) and Bayesian regularization (BR) algorithm comparison-Reference-Cited by-同舟云学术

The use of artificial neural network (ANN) in dry flue gas desulphurization modelling: Levenberg–Marquardt (LM) and Bayesian regularization (BR) algorithm comparison

Published:2022-12 Issue:6 Volume:101 Page:3273-3286
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can J Chem Eng

Author:

Makomere Robert¹^ORCID,Rutto Hilary¹,Koech Lawrence¹,Banza Musamba¹

Affiliation:

1. Clean Technology and Applied Materials Research Group, Department of Chemical and Metallurgical Engineering Vaal University of Technology Vanderbijlpark South Africa

Publisher

Wiley

Subject

General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.24715

Reference52 articles.

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2. Quantifying coal power plant responses to tighter SO2 emissions standards in China

3. R.Sahu Eskom Power Station Exceedances of Applicable Atmospheric Emission License (AEL) Limit Values for PM SO2 & NOx During April 2016 to December 2017 (2019/02) 2018 https://cer.org.za/wp-content/uploads/2019/02/Annexure-2-2.pdf(accessed: October 2022).

4. Flue Gas Desulphurization at Low Temperatures Using Coal Fly Ash/Ca-Based Sorbent: Determination of Rate Limiting Step

5. Preparation of Fly Ash-Ca(OH)2Sorbents by Pressure Hydration for SO2Removal

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