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A new approach to predict the compression index using artificial intelligence methods
Authors:Mohammed Amin Benbouras  Ratiba Kettab Mitiche  Hamma Zedira  Alexandru-Ionut Petrisor  Nourredine Mezouar  Fatiha Debiche
Affiliation:1. Civil Engineering Department, University of Abbes Laghrour, Khenchela, Algeria;2. mouhamed_amine.benbouras@g.enp.edu.dz;4. Laboratory of Materials in Civil Engineering and Environment, Ecole Nationale Polytechnique, Algiers, Algeria;5. Doctoral School of Urban Planning, ‘Ion Mincu’ University of Architecture and Urban Planning, Bucharest, Romania;6. National Earthquake Engineering Research Center (CGS), Algiers, Algeria
Abstract:
Keywords:Compression index  laboratory tests  numerical modeling  neural network  genetic programming  empirical formulae
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