The Application of Machine Learning in Geotechnical Engineering

Wei Gao

366 pages
7.6 MB
PDF

Twenty studies applying neural networks, support vector machines and ensemble models to geotechnical problems: predicting undrained shear strength, tunnel convergence, slope failure and pile capacity. For readers who already have the fundamentals and want to see where data driven methods fit.

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