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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Mouloud Mammeri University of Tizi-Ouzou
2018-10-01
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| Series: | Journal of Materials and Engineering Structures |
| Subjects: | |
| Online Access: | http://revue.ummto.dz/index.php/JMES/article/view/1730 |
| Summary: | 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. |
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| ISSN: | 2170-127X |