http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2016013532-A1

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a7b097bfd3f350ed27ffa53e1f114d1a
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2201-12
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filingDate 2015-07-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2ace22ae08f0529fb308c0330980db4d
publicationDate 2016-01-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber WO-2016013532-A1
titleOfInvention Optical compositional analysis of mixtures
abstract Systems for calculating regression coefficients for estimating amounts of components in a mixture of components may comprise: a unit for supplying input optical measurements of a reference mixture, a unit for supplying learning optical measurements of the mixture, a unit for calculating component amounts from the learning measurements, a unit for obtaining the input measurements and the component amounts and calculating learned regression coefficients over the input measurements and the component amounts, and a unit for storing the coefficients, wherein the learning measurements are characterized by one or more of having more bands than those of the input measurements and being narrowband measurements. Furthermore, systems for estimating component amounts of a mixture may comprise a unit for obtaining the input optical measurements and the learned regression coefficients, applying a regression function using the learned regression coefficients to the input optical measurements, and estimating component amounts of the mixture.
priorityDate 2014-07-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 22.