The Neuro-genetic approach for estimating the compression index
In the last decade, a number of empirical correlations have been proposed to connect the compression index to other soil parameters, such as liquid limit, plasticity index and the void index. This paper presents a correlation study between the physical properties and compression index which was cond...
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Mouloud Mammeri University of Tizi-Ouzou
2018-10-01
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doaj-a7428fe45ce04118b8abad8da7580fc02020-11-24T23:05:59ZengMouloud Mammeri University of Tizi-OuzouJournal of Materials and Engineering Structures2170-127X2018-10-01533053151355The Neuro-genetic approach for estimating the compression indexMohammed el Amin BOUROUIS0Abdeldjalil ZADJAOUI1Abdelkader DJEDID2University Abu Bekr Belkaid TlemcenUniversity Abu Bekr Belkaid TlemcenCivil engineering, Aboubekr Belkaid University, TlemcenIn the last decade, a number of empirical correlations have been proposed to connect the compression index to other soil parameters, such as liquid limit, plasticity index and the void index. This paper presents a correlation study between the physical properties and compression index which was conducted on normally consolidated clay by the hybridization of two approaches (artificial neuronal networks and genetic algorithms). A comparison was made between the measured experimentally and predictions compression indexes. The obtained results indicate that the Neuro-genetic model has the ability to accurately predict the compression index thus be used in practice by geotechnicians.http://revue.ummto.dz/index.php/JMES/article/view/1730Compression indexNeuro-geneticGenetic algorithmArtificial neuronal network |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohammed el Amin BOUROUIS Abdeldjalil ZADJAOUI Abdelkader DJEDID |
spellingShingle |
Mohammed el Amin BOUROUIS Abdeldjalil ZADJAOUI Abdelkader DJEDID The Neuro-genetic approach for estimating the compression index Journal of Materials and Engineering Structures Compression index Neuro-genetic Genetic algorithm Artificial neuronal network |
author_facet |
Mohammed el Amin BOUROUIS Abdeldjalil ZADJAOUI Abdelkader DJEDID |
author_sort |
Mohammed el Amin BOUROUIS |
title |
The Neuro-genetic approach for estimating the compression index |
title_short |
The Neuro-genetic approach for estimating the compression index |
title_full |
The Neuro-genetic approach for estimating the compression index |
title_fullStr |
The Neuro-genetic approach for estimating the compression index |
title_full_unstemmed |
The Neuro-genetic approach for estimating the compression index |
title_sort |
neuro-genetic approach for estimating the compression index |
publisher |
Mouloud Mammeri University of Tizi-Ouzou |
series |
Journal of Materials and Engineering Structures |
issn |
2170-127X |
publishDate |
2018-10-01 |
description |
In the last decade, a number of empirical correlations have been proposed to connect the compression index to other soil parameters, such as liquid limit, plasticity index and the void index. This paper presents a correlation study between the physical properties and compression index which was conducted on normally consolidated clay by the hybridization of two approaches (artificial neuronal networks and genetic algorithms). A comparison was made between the measured experimentally and predictions compression indexes. The obtained results indicate that the Neuro-genetic model has the ability to accurately predict the compression index thus be used in practice by geotechnicians. |
topic |
Compression index Neuro-genetic Genetic algorithm Artificial neuronal network |
url |
http://revue.ummto.dz/index.php/JMES/article/view/1730 |
work_keys_str_mv |
AT mohammedelaminbourouis theneurogeneticapproachforestimatingthecompressionindex AT abdeldjalilzadjaoui theneurogeneticapproachforestimatingthecompressionindex AT abdelkaderdjedid theneurogeneticapproachforestimatingthecompressionindex AT mohammedelaminbourouis neurogeneticapproachforestimatingthecompressionindex AT abdeldjalilzadjaoui neurogeneticapproachforestimatingthecompressionindex AT abdelkaderdjedid neurogeneticapproachforestimatingthecompressionindex |
_version_ |
1725624528011264000 |