Journal of Materials and Engineering Structures
Volume 5, Numéro 3, Pages 305-315
2018-09-30
The Neuro-genetic Approach For Estimating The Compression Index
Authors : Bourouis Mohammed El Amin . Zadjaoui Abdeldjalil . Djedid Abdelkader .
Abstract
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.
Keywords
The compression index; Neuro-genetic; Genetic algorithm; Artificial neuronal network
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