A catalyst selection method for hydrogen production through Water-Gas Shift Reaction using artificial neural networks-Reference-Cited by-同舟云学术

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A catalyst selection method for hydrogen production through Water-Gas Shift Reaction using artificial neural networks

Published:2019-05 Issue: Volume:237 Page:585-594
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Cavalcanti Fábio Machado^ORCID,Schmal Martin,Giudici Reinaldo^ORCID,Brito Alves Rita Maria^ORCID

Funder

FAPESP (São Paulo Research Foundation)

Research Centre for Gas Innovation – RCGI

ANP (Brazil's National Agency of Petroleum, Natural Gas and Biofuels)

FAPESP

Fábio Machado Cavalcanti

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference38 articles.

1. Neural network based approach applied to for modeling and optimization an industrial isoprene unit production;Alves,2004

2. Is there a reproducibility crisis?;Baker;Nature,2016

3. Using artificial neural networks to boost high-throughput discovery in heterogeneous catalysis;Baumes;QSAR Comb. Sci.,2004

4. Decision tree analysis of past publications on catalytic steam reforming to develop heuristics for high performance: a statistical review;Baysal;Int. J. Hydrog. Energy,2017

5. A hybrid network for input that is both categorical ans quantitative;Brouwer;Int. J. Intell. Syst.,2004

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