 :/LC.GIF&client=easterncarolinaedu)
Machine learning methods in geoscience / Gerard Schuster ; with labs by Yuqing Chen [and seven others].
| Author/creator | Schuster, Gerard Thomas, 1950- author. |
| Format | Electronic |
| Publication | Houston, TX : Society of Exploration Geophysicists, 2024. |
| Description | 1 online resource (xxxiv, 894 pages) : illustrations (black and white, and colour). |
| Supplemental Content | https://go.openathens.net/redirector/ecu.edu?url=https://doi.org/10.1190/1.9781560804048 |
| Supplemental Content | GeoScienceWorld |
| Subjects |
| Series | Geophysical developments series ; no. 19 Geophysical development series ; no. 19. ^A534372 |
| Summary | This text presents the theory of machine learning (ML) algorithms and their applications to geoscience problems. Geoscience problems include traveltime picking of seismograms by a fuzzy cluster method; migration and inversion of seismic data by neural network (NN) methods; geochemical analysis and dating of rock samples by Gaussian discriminant analysis; convolutional neural network (CNN) picking of faults, cracks, and bird types in images; Bayesian inversion of seismic data; clustering of earthquake data and semblance plots; principal component analysis of seismic data and geochemical records; filtering of seismic sections; seismic interpolation by an NN; transformer analysis of seismic data; and recurrent NN deconvolution of a seismic trace. More than half of the described algorithms fall under the class of neural network methods. |
| Bibliography note | Includes bibliographical references and index. |
| Spec. audience char. | Specialized. |
| Source of description | Description based on online resource; title from PDF title page (viewed on March 17, 2025). |
| Issued in other form | Print version : 9781560804031 |
| ISBN | 9781560804048 (ebook) : |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |