scholarly journals Free Core Resonance parameters from strain data: sensitivity analysis and results from the Gran Sasso (Italy) extensometers

2012 ◽  
Vol 189 (2) ◽  
pp. 923-936 ◽  
Author(s):  
A. Amoruso ◽  
V. Botta ◽  
L. Crescentini
2014 ◽  
Vol 13 (4) ◽  
pp. 258-264 ◽  
Author(s):  
Oliver N. Keene ◽  
James H. Roger ◽  
Benjamin F. Hartley ◽  
Michael G. Kenward

2007 ◽  
Vol 01 (04) ◽  
pp. 299-309 ◽  
Author(s):  
PIJUSH SAMUI

The recently introduced relevance vector machine (RVM) technique is applied to predict seismic attenuation based on rock properties. The RVM provides much sparser regressors without compromising performance, and kernel bases give a small but worthwhile improvement in performance. It evades complexity by producing models that have structure and as a result parameterization process that is appropriate to the information content of the data. Sensitivity analysis has been also performed to investigate the importance of each of the input parameters. The results show that RVM approach has the potential to be a practical tool for determination of seismic attenuation.


2014 ◽  
Vol 524 ◽  
pp. 012135 ◽  
Author(s):  
Karl Nilsson ◽  
Simon-Philippe Breton ◽  
Jens N Sørensen ◽  
Stefan Ivanell

2019 ◽  
Vol 55 (3) ◽  
pp. 389-396 ◽  
Author(s):  
V. K. Milyukov ◽  
A. Amoruso ◽  
L. Crescentini ◽  
A. P. Mironov ◽  
A. V. Myasnikov ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (12) ◽  
pp. e50986 ◽  
Author(s):  
Alina Sîrbu ◽  
Gráinne Kerr ◽  
Martin Crane ◽  
Heather J. Ruskin

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