Название: Machine Learning for Subsurface Characterization Автор: Siddharth Misra, Hao Li
Издательство: Gulf Professional Publishing
Год: 2019
Страниц: 442
Язык: английский
Формат: pdf (true)
Размер: 86.1 MB
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine Learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the 'big data.' Deep learning (DL) is a subset of machine learning that processes 'big data' to construct numerous layers of abstraction to accomplish the learning task.
