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.

1. Flue Gas Desulfurization for Acid Rain Control

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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