Process intensification of hydrogen production by catalytic steam methane reforming: Performance analysis of multilayer perceptron-artificial neural networks and nonlinear response surface techniques-Reference-Cited by-同舟云学术

Process intensification of hydrogen production by catalytic steam methane reforming: Performance analysis of multilayer perceptron-artificial neural networks and nonlinear response surface techniques

Published:2021-12 Issue: Volume:156 Page:315-329
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Ayodele Bamidele Victor,Alsaffar May Ali,Mustapa Siti Indati,Adesina Adesoji,Kanthasamy Ramesh,Witoon Thongthai,Abdullah Sureena

Funder

Universiti Tenaga Nasional

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference43 articles.

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3. A new comprehensive model for relative viscosity of various nanofluids using feed-forward back-propagation MLP neural networks;Ansari;Int. Commun. Heat. Mass Transf.,2018

4. A new weighted optimal combination of ANNs for catalyst design and reactor operation: methane steam reforming studies;Arcotumapathy;AIChE J.,2012

5. Catalyst design for methane steam reforming;Arcotumapathy;Appl. Catal. A Gen.,2014

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