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Application of Artificial Intelligence in Geo-Engineering

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Information Technology in Geo-Engineering (ICITG 2019)

Part of the book series: Springer Series in Geomechanics and Geoengineering ((SSGG))

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Abstract

Geotechnical engineers use various Artificial Intelligence (AI) techniques for solving different problems. This paper will survey the application of different AI techniques {Artificial Neural Network (ANN), Support Vector Machine (SVM), Least Square Support Vector Machine (LSSVM), Genetic Programing (GP), Relevance Vector Machine (RVM), Multivariate Adaptive Regression Spline (MARS), Extreme Learning Machine (ELM), Adaptive Neuro Fuzzy Inference System (ANFIS), Minimax Probability Machine Regression (MPMR), Gaussian Process Regression (GPR), Adaptive Neuro Fuzzy Inference System (ANFIS)} in different fields of geotechnical engineering such as shallow foundation, site characterization, liquefaction, slope stability, reliability, etc. The advantages of different AI techniques will be described.

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Authors and Affiliations

  1. Department of Civil Engineering, NIT Patna, Patna, Bihar, India

    Pijush Samui

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  1. Pijush Samui
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Editors and Affiliations

  1. School of Engineering, ISISE, University of Minho, Guimarães, Portugal

    António Gomes Correia

  2. School of Engineering, ISISE, University of Minho, Guimarães, Portugal

    Joaquim Tinoco

  3. School of Engineering, ALGORITMI, University of Minho, Guimarães, Portugal

    Paulo Cortez

  4. Laboratório Nacional de Engenharia Civil, Lisboa, Portugal

    Luís Lamas

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Samui, P. (2020). Application of Artificial Intelligence in Geo-Engineering. In: Correia, A., Tinoco, J., Cortez, P., Lamas, L. (eds) Information Technology in Geo-Engineering. ICITG 2019. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-32029-4_3

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