Prediction of implementing ISO 14031 guidelines using a multilayer perceptron neural network approach

Mohamed Mansour; Saleh Alsulamy; Shaik Dawood

doi:10.1371/journal.pone.0244029

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Open Access

Peer-reviewed

Research Article

Prediction of implementing ISO 14031 guidelines using a multilayer perceptron neural network approach

Mohamed Mansour ,

Roles Conceptualization, Formal analysis, Methodology, Software, Validation

* E-mail: momansor@kku.edu.sa

Affiliations Industrial Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia, Industrial Engineering Department, College of Engineering, Zagazig University, Zagazig, Egypt

https://orcid.org/0000-0002-4794-1399

⨯
Saleh Alsulamy,

Roles Project administration, Supervision, Visualization, Writing – original draft, Writing – review & editing

Affiliation Architecture and Planning Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
⨯
Shaik Dawood

Roles Data curation, Formal analysis, Investigation, Resources

Affiliation Industrial Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
⨯

Prediction of implementing ISO 14031 guidelines using a multilayer perceptron neural network approach

Mohamed Mansour,
Saleh Alsulamy,
Shaik Dawood

Published: January 6, 2021
https://doi.org/10.1371/journal.pone.0244029

About the Authors

Mohamed Mansour

Roles Conceptualization, Formal analysis, Methodology, Software, Validation

* E-mail: momansor@kku.edu.sa

Affiliations Industrial Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia, Industrial Engineering Department, College of Engineering, Zagazig University, Zagazig, Egypt

https://orcid.org/0000-0002-4794-1399

Saleh Alsulamy

Roles Project administration, Supervision, Visualization, Writing – original draft, Writing – review & editing

Affiliation Architecture and Planning Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia

Shaik Dawood

Roles Data curation, Formal analysis, Investigation, Resources

Affiliation Industrial Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia

Competing Interests

The authors declare no conflicts of interest.

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