Development of NOx removal process for LNG evaporation system: Comparative assessment between response surface methodology (RSM) and artificial neural network (ANN)-Reference-Cited by-同舟云学术

Development of NOx removal process for LNG evaporation system: Comparative assessment between response surface methodology (RSM) and artificial neural network (ANN)

Published:2019-06 Issue: Volume:74 Page:136-147
ISSN:1226-086X
Container-title:Journal of Industrial and Engineering Chemistry
language:en
Short-container-title:Journal of Industrial and Engineering Chemistry

Author:

Kim Ziehyun,Shin Yeonju,Yu Jihye,Kim Geonjoong,Hwang Sungwon

Funder

Ministry of Trade “Development of Integrated Interactive Model for Subsea and Topside System to Evaluate the Process Design of Offshore Platform”

Korea Gas CorporationKorea Gas Corporation (KOGAS)

Publisher

Elsevier BV

Subject

General Chemical Engineering

Reference48 articles.

1. Prediction of emissions and performance of a diesel engine fueled with n-octanol/diesel blends using response surface methodology

2. Optimization of bauhinia variegata biodiesel production and its performance, combustion and emission study on diesel engine

3. Central Composite Design Optimization of Zinc Removal from Contaminated Soil, Using Citric Acid as Biodegradable Chelant

4. Development of a Lower Toxic Approach Based on Green Synthesis of Water-Compatible Molecularly Imprinted Nanoparticles for the Extraction of Hydrochlorothiazide from Human Urine

5. Water compatible molecularly imprinted nanoparticles as a restricted access material for extraction of hippuric acid, a biological indicator of toluene exposure, from human urine

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