Artificial Intelligence in Seismology
Author
Participating institute
Geophysikalisches Institut (GPI)
KIT-Zentrum Klima und Umwelt (ZKU)
Genre
Description
How can machine learning be used to determine seismic wave arrivals?
Operating principles of neural networks, comparison of conventional feature based and artificial neural network algorithms to pick seismic phase arrivals, network training and application.
Duration (hh:mm:ss)
00:11:04
Series
Basic Geophysics - Working Groups at GPI
Published on
21.05.2019
Subject area
License
| Resolution | 1280 x 720 Pixel |
| Aspect ratio | 16:9 |
| Audio bitrate | 128000 bps |
| Audio channels | 2 |
| Audio Codec | aac |
| Audio Sample Rate | 48000 Hz |
| Total Bitrate | 931516 bps |
| Color Space | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Media Type | video/mp4 |
| Duration | 664 s |
| Filename | DIVA-2019-390_hd.mp4 |
| File Size | 77.329.813 byte |
| Frame Rate | 25 |
| Video Bitrate | 797437 bps |
| Video Codec | h264 |
Media URL
Embed Code
Basic Geophysics - Working Groups at GPI
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