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Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models
Two novel and highly accurate hybrid models were developed for the prediction of the flammability limits (lower flammability limit (LFL) and upper flammability limit (UFL)) of pure compounds using a quantitative structure–property relationship approach. The two models were developed using a dataset...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855467/ https://www.ncbi.nlm.nih.gov/pubmed/31725738 http://dx.doi.org/10.1371/journal.pone.0224807 |
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author | El-Harbawi, Mohanad Samir, Brahim Belhaouari El blidi, Lahssen Ben Ghanem, Ouahid |
author_facet | El-Harbawi, Mohanad Samir, Brahim Belhaouari El blidi, Lahssen Ben Ghanem, Ouahid |
author_sort | El-Harbawi, Mohanad |
collection | PubMed |
description | Two novel and highly accurate hybrid models were developed for the prediction of the flammability limits (lower flammability limit (LFL) and upper flammability limit (UFL)) of pure compounds using a quantitative structure–property relationship approach. The two models were developed using a dataset obtained from the DIPPR Project 801 database, which comprises 1057 and 515 literature data for the LFL and UFL, respectively. Multiple linear regression (MLR), logarithmic, and polynomial models were used to develop the models according to an algorithm and code written using the MATLAB software. The results indicated that the proposed models were capable of predicting LFL and UFL values with accuracies that were among the best (i.e. most optimised) reported in the literature (LFL: R(2) = 99.72%, with an average absolute relative deviation (AARD) of 0.8%; UFL: R(2) = 99.64%, with an AARD of 1.41%). These hybrid models are unique in that they were developed using a modified mathematical technique combined three conventional methods. These models afford good practicability and can be used as cost-effective alternatives to experimental measurements of LFL and UFL values for a wide range of pure compounds. |
format | Online Article Text |
id | pubmed-6855467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68554672019-12-07 Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models El-Harbawi, Mohanad Samir, Brahim Belhaouari El blidi, Lahssen Ben Ghanem, Ouahid PLoS One Research Article Two novel and highly accurate hybrid models were developed for the prediction of the flammability limits (lower flammability limit (LFL) and upper flammability limit (UFL)) of pure compounds using a quantitative structure–property relationship approach. The two models were developed using a dataset obtained from the DIPPR Project 801 database, which comprises 1057 and 515 literature data for the LFL and UFL, respectively. Multiple linear regression (MLR), logarithmic, and polynomial models were used to develop the models according to an algorithm and code written using the MATLAB software. The results indicated that the proposed models were capable of predicting LFL and UFL values with accuracies that were among the best (i.e. most optimised) reported in the literature (LFL: R(2) = 99.72%, with an average absolute relative deviation (AARD) of 0.8%; UFL: R(2) = 99.64%, with an AARD of 1.41%). These hybrid models are unique in that they were developed using a modified mathematical technique combined three conventional methods. These models afford good practicability and can be used as cost-effective alternatives to experimental measurements of LFL and UFL values for a wide range of pure compounds. Public Library of Science 2019-11-14 /pmc/articles/PMC6855467/ /pubmed/31725738 http://dx.doi.org/10.1371/journal.pone.0224807 Text en © 2019 El-Harbawi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article El-Harbawi, Mohanad Samir, Brahim Belhaouari El blidi, Lahssen Ben Ghanem, Ouahid Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models |
title | Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models |
title_full | Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models |
title_fullStr | Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models |
title_full_unstemmed | Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models |
title_short | Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models |
title_sort | highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855467/ https://www.ncbi.nlm.nih.gov/pubmed/31725738 http://dx.doi.org/10.1371/journal.pone.0224807 |
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