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Application of Relevance Vector Machine in Seismic Attenuation Prediction

Samui, Pijush (2007) Application of Relevance Vector Machine in Seismic Attenuation Prediction. In: Journal of Earthquake and Tsunami (JET), 1 (4). pp. 299-309.

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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.

Item Type: Journal Article
Publication: Journal of Earthquake and Tsunami (JET)
Publisher: World Scientific Publishing
Additional Information: Copyright of this article belongs to World Scientific Publishing.
Keywords: Seismic attenuation;relevance vector machine;sensitivity analysis.
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 26 Aug 2008
Last Modified: 27 Aug 2008 13:43
URI: http://eprints.iisc.ac.in/id/eprint/15600

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