Mapping ocean sediments by RBF networks

dc.contributor.author	Caiti, Andrea
dc.contributor.author	Parisini, T.
dc.date.accessioned	2018-10-11T14:06:12Z
dc.date.available	2018-10-11T14:06:12Z
dc.date.issued	1992/09
dc.identifier	1738
dc.identifier.govdoc	SM-256
dc.identifier.uri	http://hdl.handle.net/20.500.12489/209
dc.description.abstract	Interpolation of sparse measurements of ocean-sediment properties by generalized radial basis function (RBF) networks is proposed. An RBF
dc.description.abstract	network is able to generate a continuous smooth approximation for sediment properties as a function of the x-y-z position, where z is the sediment depth. Advantages and disadvantages of the method are discussed, from both a physical and a computational viewpoint. An example using sediment density data obtained by sparse core measurements in a region of the Mediterranean Sea is presented.
dc.format	vi, 13 p. : ill. ; 6 fig.
dc.language	English
dc.publisher	NATO. SACLANTCEN
dc.relation.ispartofseries	ADB178302
dc.subject	Seafloor sediments
dc.subject	Neural networks
dc.subject	Mediterranean Sea
dc.title	Mapping ocean sediments by RBF networks
dc.type	Scientific Memorandum (SM)