About: Mossbauer Spectra Processing Using Neural Networks     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • A Mossbauer spectrum can be understood as a sum of Lorentz functions. The aim of this work is to develop an automated algorithm for Mossbauer spectra processing. The required output of this algorithm is the number of Lorentz functions contained in the spectrum and the values of parameters of these functions, i.e. values of their amplitudes, positions and halfwidths. For this purpose a modified brute-force method was used. There are tested all possible combinations of parameters of the Lorentz functions whether they properly fit measured spectrum or not. A set of parameters having the best fit with the spectrum is the output of this method. Testing all possible combinations takes a huge computational power so an optimization process was developed to speed up the computational process. This is achieved by decreasing the number of tested combinations. The optimization process is based on a mathematical analysis and neural network processing. An evolutional algorithms were used for proper setting up of th
  • A Mossbauer spectrum can be understood as a sum of Lorentz functions. The aim of this work is to develop an automated algorithm for Mossbauer spectra processing. The required output of this algorithm is the number of Lorentz functions contained in the spectrum and the values of parameters of these functions, i.e. values of their amplitudes, positions and halfwidths. For this purpose a modified brute-force method was used. There are tested all possible combinations of parameters of the Lorentz functions whether they properly fit measured spectrum or not. A set of parameters having the best fit with the spectrum is the output of this method. Testing all possible combinations takes a huge computational power so an optimization process was developed to speed up the computational process. This is achieved by decreasing the number of tested combinations. The optimization process is based on a mathematical analysis and neural network processing. An evolutional algorithms were used for proper setting up of th (en)
Title
  • Mossbauer Spectra Processing Using Neural Networks
  • Mossbauer Spectra Processing Using Neural Networks (en)
skos:prefLabel
  • Mossbauer Spectra Processing Using Neural Networks
  • Mossbauer Spectra Processing Using Neural Networks (en)
skos:notation
  • RIV/61989592:15310/05:00009832!RIV10-MSM-15310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0512), Z(MSM6198959218)
http://linked.open...iv/cisloPeriodika
  • 7
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 531250
http://linked.open...ai/riv/idVysledku
  • RIV/61989592:15310/05:00009832
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Mossbauer spectra; processing; neural networks; brute; force; evolution (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [AD3130054B12]
http://linked.open...i/riv/nazevZdroje
  • Czechoslovak Journal of Physics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 55
http://linked.open...iv/tvurceVysledku
  • Mašláň, Miroslav
  • Ryvola, R.
http://linked.open...n/vavai/riv/zamer
issn
  • 0011-4626
number of pages
http://localhost/t...ganizacniJednotka
  • 15310
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software