Elastic neural net for the earthquake epicenter search
Automatic processing of seismic data is today a key element in the efforts to achieve high quality seismic systems. Automated procedures for locating seismic events with a network including arrays and single element seismometers usually incorporate back-azimuth estimates, arrival-time data, and asso...
Saved in:
Main Authors: | I. Antoniou, V. V. Ivanov, I. V. Kisel |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2002-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/10260220290013453 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Accuracy analysis of various earthquake catalogs based on ground truth locations:Several M5 earthquakes in the southwest region of China
by: Jie Yang, et al.
Published: (2025-01-01) -
EventSegNet: Direct Sparse Semantic Segmentation from Event Data
by: Pengju Li, et al.
Published: (2024-12-01) -
ADeFS: A Deep Forest Regression-Based Model to Enhance the Performance Based on LASSO and Elastic Net
by: Zari Farhadi, et al.
Published: (2024-12-01) -
Combined Elastic and Limit Analysis for Seismic Vulnerability Assessment of Pitched Portal Frames
by: Marco Postiglione, et al.
Published: (2024-12-01) -
The efficiency of the seismic isolating sliding belt under the impact of the most unfavourable earthquake accelerograms
by: O. V. Mkrtychev, et al.
Published: (2024-07-01)