Application of computational intelligence tools for the analysis of marine geotechnical properties in the head of Zakynthos canyon, Greece

Ferentinou, M; Hasiotis, T; Sakellariou, M

dc.contributor.author	Ferentinou, M	en
dc.contributor.author	Hasiotis, T	en
dc.contributor.author	Sakellariou, M	en
dc.date.accessioned	2014-03-01T02:07:49Z
dc.date.available	2014-03-01T02:07:49Z
dc.date.issued	2012	en
dc.identifier.issn	00983004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29609
dc.subject	Artificial neural network	en
dc.subject	Generic interaction matrix	en
dc.subject	Greece	en
dc.subject	Marine geotechnical properties	en
dc.subject	Self-organizing map	en
dc.subject	Zakynthos Canyon	en
dc.subject.other	Artificial Neural Network	en
dc.subject.other	Geotechnical properties	en
dc.subject.other	Greece	en
dc.subject.other	Interaction matrices	en
dc.subject.other	Self organizing	en
dc.subject.other	Zakynthos Canyon	en
dc.subject.other	Anoxic sediments	en
dc.subject.other	Conformal mapping	en
dc.subject.other	Neural networks	en
dc.subject.other	Silt	en
dc.subject.other	Sedimentology	en
dc.subject.other	artificial neural network	en
dc.subject.other	Atterberg limit	en
dc.subject.other	data set	en
dc.subject.other	fine grained sediment	en
dc.subject.other	geotechnical property	en
dc.subject.other	marine sediment	en
dc.subject.other	multivariate analysis	en
dc.subject.other	parameterization	en
dc.subject.other	sedimentary structure	en
dc.subject.other	shear strength	en
dc.subject.other	silt	en
dc.subject.other	unconsolidated medium	en
dc.subject.other	undrained test	en
dc.subject.other	water content	en
dc.subject.other	Ionian Sea	en
dc.subject.other	Mediterranean Sea	en
dc.subject.other	Zakynthos Canyon	en
dc.title	Application of computational intelligence tools for the analysis of marine geotechnical properties in the head of Zakynthos canyon, Greece	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.cageo.2011.06.022	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.cageo.2011.06.022	en
heal.publicationDate	2012	en
heal.abstract	This paper uses a computational approach to provide insight into the relationships among marine geotechnical properties that characterize the recent sedimentary cover at the head of Zakynthos Canyon in western Greece. Self-organizing maps (SOM) and generic interaction matrix (GIM) theory were used to investigate the tendency of the data to cluster and to examine the sediment property relationships. This analysis has also focused on the assessment of the dominance and interaction intensity between the related parameters following GIM theory definition. The principal results refer to the identification of clusters in the original multivariate data set. SOM-based analysis distinguished five clusters, with similar geotechnical characteristics, which led to the separation of the surficial (~80. cm) unconsolidated sediments from the deeper normally consolidated sediments and depicted better relations between the geotechnical properties within each cluster. The combination of SOM with GIM theory also demonstrates the dominance of fine-grained sediments (especially silts) and their associated Atterberg limits. The strongest interaction intensity is observed between silt and water content, whereas the undrained shear strength of the surficial deposits appears to be least interactive. The application of computational intelligence methods in the study of marine geotechnical properties allows insight into the relationships between the various geotechnical parameters and provides a promising tool for knowledge extraction in marine geo-environments. © 2011 Elsevier Ltd.	en
heal.journalName	Computers and Geosciences	en
dc.identifier.doi	10.1016/j.cageo.2011.06.022	en
dc.identifier.volume	40	en
dc.identifier.spage	166	en
dc.identifier.epage	174	en