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dc.contributor.authorUlanowski, Zbigniew
dc.contributor.authorWang, Z.
dc.contributor.authorKaye, Paul H.
dc.contributor.authorLudlow, Ian
dc.date.accessioned2011-08-09T14:01:06Z
dc.date.available2011-08-09T14:01:06Z
dc.date.issued1998
dc.identifier.citationUlanowski , Z , Wang , Z , Kaye , P H & Ludlow , I 1998 , ' Application of neural networks to the inverse light scattering problem for spheres ' , Applied Optics , vol. 37 , no. 18 , pp. 4027-4033 .
dc.identifier.issn0003-6935
dc.identifier.otherPURE: 268271
dc.identifier.otherPURE UUID: d00e6d6e-bf19-46e4-b194-658267ddbfaa
dc.identifier.otherScopus: 0005185941
dc.identifier.urihttp://hdl.handle.net/2299/6116
dc.description.abstractA new approach suitable for solving inverse problems in multi-angle light scattering is presented. The method takes advantage of multidimensional function approximation capability of radial basis function (RBF) neural networks. An algorithm for training the networks is described in detail. It is shown that the radius and refractive index of homogenous spheres can be recovered accurately and quickly, with maximum relative errors of the order of 10-3 and mean errors as low as 10-5. The influence of the angular range of available scattering data on the loss of information and inversion accuracy is investigated and it is shown that more than two thirds of input data can be removed before substantial degradation of accuracy occurs.en
dc.language.isoeng
dc.relation.ispartofApplied Optics
dc.rights/dk/atira/pure/core/openaccesspermission/open
dc.subjectlight scattering
dc.subjectparticle sizing
dc.subjectsphere
dc.subjectinverse problem
dc.subjectneural network
dc.subjectradial basis function
dc.titleApplication of neural networks to the inverse light scattering problem for spheresen
dc.contributor.institutionSchool of Physics, Astronomy and Mathematics
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionLight Scattering & Radiactive Properties
dc.contributor.institutionCentre for Atmospheric and Climate Physics Research
dc.contributor.institutionParticle Instrumentation
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Physics, Astronomy and Mathematics
dc.description.versiontypeFinal Accepted Version
rioxxterms.versionAM
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeopenAccess


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