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

Dupuis M; Schill C; Lee R; Bradley, Brendon

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Conference Contributions - Published

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https://hdl.handle.net/10092/103376

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Engineering: Conference Contributions [2338]

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Dupuis M

Schill C

Lee R

Bradley, Brendon

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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.
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ANZSRC Fields of Research

37 - Earth sciences::3706 - Geophysics::370609 - Seismology and seismic exploration

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http://hdl.handle.net/10092/17651

A neural network for ground motion quality classification from New Zealand earthquakes of variable magnitudes and tectonic types (2020)

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