A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Overview of Machine Learning in Geomechanics
Machine learning (ML) is an evolving field of knowledge and involves a plethora of methods and combinations of those. ML methods are classified into different categories: supervised learning versus unsupervised learning, batch learning versus online learning, and instance‐based learning versus model‐based learning. This chapter discusses the applications of ML in geomechanics, including constitutive modeling, geotechnics, geophysics, and image correlation. The success of ML algorithms in performing complicated and complex tasks makes them convenient tools for many applications. Applications of ML algorithms have demonstrated gender, racial, hiring and other biases. ML methods are algorithms which should be used with care and knowledge of the underlying limitations. As far as it concerns ML and geomechanics, luckily, we have at our disposal established and undeniable principles that have to be respected in any application.
Overview of Machine Learning in Geomechanics
Machine learning (ML) is an evolving field of knowledge and involves a plethora of methods and combinations of those. ML methods are classified into different categories: supervised learning versus unsupervised learning, batch learning versus online learning, and instance‐based learning versus model‐based learning. This chapter discusses the applications of ML in geomechanics, including constitutive modeling, geotechnics, geophysics, and image correlation. The success of ML algorithms in performing complicated and complex tasks makes them convenient tools for many applications. Applications of ML algorithms have demonstrated gender, racial, hiring and other biases. ML methods are algorithms which should be used with care and knowledge of the underlying limitations. As far as it concerns ML and geomechanics, luckily, we have at our disposal established and undeniable principles that have to be respected in any application.
Overview of Machine Learning in Geomechanics
Stefanou, Ioannis (author) / Darve, Félix (author) / STEFANOU, Ioannis (author)
2024-10-25
30 pages
Article/Chapter (Book)
Electronic Resource
English
| Online Contents | 1971
| TIBKAT | 1973