Integration of macromolecular diffraction data using radial basis function networks
Identifieur interne : 000347 ( Main/Exploration ); précédent : 000346; suivant : 000348Integration of macromolecular diffraction data using radial basis function networks
Auteurs : Boris Pokri ; Nigel M. Allinson ; John R. HelliwellSource :
- Journal of Synchrotron Radiation [ 1600-5775 ] ; 2000-11.
English descriptors
Abstract
This paper presents a novel approach for intensity calculation of X‐ray diffraction spots based on a two‐stage radial basis function (RBF) network. The first stage uses pre‐determined reference profiles from a database as basis functions in order to locate the diffraction spots and identify any overlapping regions. The second‐stage RBF network employs narrow basis functions capable of local modifications of the reference profiles leading to a more accurate observed diffraction spot approximation and therefore accurate determination of spot positions and integrated intensities.
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DOI: 10.1107/S0909049500012929
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Le document en format XML
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<front><div type="abstract" xml:lang="en">This paper presents a novel approach for intensity calculation of X‐ray diffraction spots based on a two‐stage radial basis function (RBF) network. The first stage uses pre‐determined reference profiles from a database as basis functions in order to locate the diffraction spots and identify any overlapping regions. The second‐stage RBF network employs narrow basis functions capable of local modifications of the reference profiles leading to a more accurate observed diffraction spot approximation and therefore accurate determination of spot positions and integrated intensities.</div>
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<name sortKey="Pokri, Boris" sort="Pokri, Boris" uniqKey="Pokri B" first="Boris" last="Pokri">Boris Pokri</name>
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