This presents recent advancements in probabilistic geotechnical site characterization. It reviews probability theories and models for cross correlation and spatial correlation, and presents methods for Bayesian parameter estimation and prediction....Loe edasi...
This book covers unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput regression models for subsurface engineering problems. Processing voluminous and complex data sets are the prim...Loe edasi...
Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering provides recent advances in mining, geotechnical and geoengineering, as well as applications of artificial intelligence in these areas. It serves as the firs...Loe edasi...
Finite Element Programming in Non-linear Geomechanics and Transient Flow delivers a textbook reference for both students and practitioners alike, with provided codes to understand and modify. Starting with the fundamentals, the reference co...Loe edasi...
Modeling in Geotechnical Engineering is a one stop reference for a range of computational models, the theory explaining how they work, and case studies describing how to apply them. Drawing on the expertise of contributors from a range of d...Loe edasi...
Constantin Cranganu, Henri Luchian, Mihaela Elena Breaban
(Ilmumisaeg: 04-May-2015, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783319165301)
saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-of-the-art working...Loe edasi...
