A neural network for ground motion quality classification from New Zealand earthquakes of variable magnitudes and tectonic types

Type of content
Conference Contributions - Published
Publisher's DOI/URI
Thesis discipline
Degree name
Publisher
Journal Title
Journal ISSN
Volume Title
Language
Date
2020
Authors
Dupuis M
Schill C
Lee R
Bradley, Brendon
Abstract
Description
Citation
Dupuis M, Schill C, Lee R, Bradley B (2020). A neural network for ground motion quality classification from New Zealand earthquakes of variable magnitudes and tectonic types. Nelson, New Zealand: QuakeCoRE Annual Meeting. 07/12/2020.
Keywords
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Fields of Research::37 - Earth sciences::3706 - Geophysics::370609 - Seismology and seismic exploration
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All rights reserved unless otherwise stated