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Application of Artificial Intelligence in Geo-Engineering

Samui, Pijush

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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Application of Artificial Intelligence in Geo-Engineering

Samui, Pijush

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.

Application of Artificial Intelligence in Geo-Engineering

Samui, Pijush

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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Titel:

Application of Artificial Intelligence in Geo-Engineering

Beteiligte:

Samui, Pijush (Autor:in)

Erschienen in:

Information Technology in Geo-Engineering ; 30-44

Springer Series in Geomechanics and Geoengineering

Erscheinungsdatum:

25.09.2019

Format / Umfang:

15 pages

ISBN:

978-3-030-32028-7 , 978-3-030-32029-4

ISSN:

1866-8755 , 1866-8763

DOI:

https://doi.org/10.1007/978-3-030-32029-4_3

Medientyp:

Aufsatz/Kapitel (Buch)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Artificial Neural Network , Support Vector Machine , Relevance Vector Machine , Least Square Support Vector Machine , Geotechnical engineering Engineering , Geoengineering, Foundations, Hydraulics , Geotechnical Engineering & Applied Earth Sciences , Mathematical and Computational Engineering

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