Analysis and modelling of light-scattering sensors using artificial neural networks
There have been few theoretical advancements in the theory of light-scattering from particles since the days of Rayleigh and of those who have come later in the early twentieth century such as Mie, Lorenz and Born. The lack of progressive advancements in this area is a clear indication of the diffic...
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ndltd-bl.uk-oai-ethos.bl.uk-3084512017-12-24T15:46:05ZAnalysis and modelling of light-scattering sensors using artificial neural networksNaimimohasses, Rambod1996There have been few theoretical advancements in the theory of light-scattering from particles since the days of Rayleigh and of those who have come later in the early twentieth century such as Mie, Lorenz and Born. The lack of progressive advancements in this area is a clear indication of the difficulties faced. However, the advancement of optical sensor technology and computer systems, representing thus an empirical advancement, have managed to produce effective means for collecting large amounts of high quality data in a relatively short time. Such difference in advancement between these two approaches signifies the necessity for establishing generic approximations and tools that can be used effectively in both domains.621.381045Optical sensorsLoughborough Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308451https://dspace.lboro.ac.uk/2134/27104Electronic Thesis or Dissertation |
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621.381045 Optical sensors |
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621.381045 Optical sensors Naimimohasses, Rambod Analysis and modelling of light-scattering sensors using artificial neural networks |
description |
There have been few theoretical advancements in the theory of light-scattering from particles since the days of Rayleigh and of those who have come later in the early twentieth century such as Mie, Lorenz and Born. The lack of progressive advancements in this area is a clear indication of the difficulties faced. However, the advancement of optical sensor technology and computer systems, representing thus an empirical advancement, have managed to produce effective means for collecting large amounts of high quality data in a relatively short time. Such difference in advancement between these two approaches signifies the necessity for establishing generic approximations and tools that can be used effectively in both domains. |
author |
Naimimohasses, Rambod |
author_facet |
Naimimohasses, Rambod |
author_sort |
Naimimohasses, Rambod |
title |
Analysis and modelling of light-scattering sensors using artificial neural networks |
title_short |
Analysis and modelling of light-scattering sensors using artificial neural networks |
title_full |
Analysis and modelling of light-scattering sensors using artificial neural networks |
title_fullStr |
Analysis and modelling of light-scattering sensors using artificial neural networks |
title_full_unstemmed |
Analysis and modelling of light-scattering sensors using artificial neural networks |
title_sort |
analysis and modelling of light-scattering sensors using artificial neural networks |
publisher |
Loughborough University |
publishDate |
1996 |
url |
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308451 |
work_keys_str_mv |
AT naimimohassesrambod analysisandmodellingoflightscatteringsensorsusingartificialneuralnetworks |
_version_ |
1718570354030411776 |