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201003s2020 mau o 000 0 eng d |
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|a YDX
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|a 9780128216842
|q (electronic bk.)
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|a 0128216840
|q (electronic bk.)
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|z 9780128216699
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|z 0128216697
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|a (OCoLC)1198713606
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|a QE48.8
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|a 550.285631
|2 23
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| 245 |
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|a Machine learning and artificial intelligence in geosciences /
|c edited by Ben Moseley, Lion Krischer.
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| 260 |
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|a Cambridge, MA :
|b Academic Press,
|c 2020.
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| 300 |
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Advances in geophysics ;
|v volume 61
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| 505 |
0 |
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|a Intro -- Machine Learning in Geosciences -- Copyright -- Contents -- Contributors -- Preface -- References -- Chapter One: 70 years of machine learning in geoscience in review -- 1. Historic machine learning in geoscience -- 1.1. Expert systems to knowledge-driven AI -- 1.2. Neural networks -- 1.3. Kriging and Gaussian processes -- 2. Contemporary machine learning in geoscience -- 2.1. Modern machine learning tools -- 2.2. Support-vector machines -- 2.3. Random forests -- 2.4. Modern deep learning -- 2.5. Neural network architectures -- 2.6. Convolutional neural network architectures
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8 |
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|a 2.7. Generative adversarial networks -- 2.8. Recurrent neural network architectures -- 2.9. The state of ML on geoscience -- References -- Chapter Two: Machine learning and fault rupture: A review -- 1. Introduction -- 2. Machine learning: A shallow dive -- 2.1. Learning tasks, performance, and experience -- 2.2. Learning capacity -- 2.3. Geophysical data -- 3. Laboratory studies -- 3.1. Laboratory geodesy -- 3.2. Laboratory seismology -- 4. Field studies -- 4.1. Techniques -- 4.1.1. Earthquake catalog building -- 4.1.1.1. Earthquake detection -- 4.1.1.2. Phase picking and polarity determination
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| 505 |
8 |
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|a 4.1.1.3. Event association -- 4.1.1.4. Event location -- 4.1.2. Seismic waveform denoising and enhancing -- 4.1.3. Tectonic tremor detection -- 4.1.4. Fault slip inversion -- 4.1.5. Automatic detection of geodetic deformation -- 4.2. Applications -- 4.2.1. Early warning -- 4.2.2. Induced seismicity -- 4.2.3. Earthquake catalog forecasting -- 5. Conclusion -- Acknowledgments -- References -- Chapter Three: Machine learning techniques for fractured media -- 1. Introduction -- 2. Preliminaries -- 2.1. Governing equations -- 2.2. DFN to graph mappings -- 2.2.1. Topology map -- 2.2.2. Pipe-network map
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| 505 |
8 |
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|a 2.2.3. Flow topology graph (FTG) construction -- 3. Graph as a DFN reduced-order model -- 4. Pruned DFN as a reduced-order model -- 4.1. Existence of backbones -- 5. Machine learning methods for backbone identification -- 5.1. Fracture-classification: Labeling by FTG membership -- 5.2. Fracture-classification: Labeling by mass flux -- 5.3. Path-classification: Labeling by FTG membership -- 5.3.1. Logistic regression -- 5.3.1.1. Random forest -- 6. Further scope for ML in fractured media -- References -- Further reading
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| 505 |
8 |
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|a Chapter Four: Seismic signal augmentation to improve generalization of deep neural networks -- 1. Introduction -- 2. Benchmark data and training procedure -- 3. Augmentations -- 3.1. Random shift -- 3.2. Superimposing events -- 3.3. Superposing noise -- 3.4. False positive noise -- 3.5. Channel dropout -- 3.6. Resampling -- 3.7. Augmentation for synthetic data generation -- 4. Discussion -- 5. Conclusions -- Acknowledgments -- References -- Chapter Five: Deep generator priors for Bayesian seismic inversion -- 1. Introduction -- 2. Methodology -- 2.1. Bayesian inference
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| 650 |
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0 |
|a Earth sciences
|x Data processing.
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| 650 |
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0 |
|a Machine learning.
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| 650 |
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6 |
|a Apprentissage automatique.
|0 (CaQQLa)201-0131435
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| 650 |
|
7 |
|a Earth sciences
|x Data processing
|2 fast
|0 (OCoLC)fst00900738
|
| 650 |
|
7 |
|a Machine learning
|2 fast
|0 (OCoLC)fst01004795
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| 700 |
1 |
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|a Moseley, Ben.
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| 700 |
1 |
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|a Krischer, Lion.
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| 776 |
0 |
8 |
|i Print version:
|z 0128216697
|z 9780128216699
|w (OCoLC)1141039353
|
| 830 |
|
0 |
|a Advances in geophysics ;
|v v. 61.
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/bookseries/00652687/61
|z Texto completo
|
