http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103902825-A

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Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F19-00
filingDate 2014-04-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ff6b88cc115e275f1143bdc5e08abe2e
publicationDate 2014-07-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-103902825-A
titleOfInvention Independent component regression analysis model promotion based melt index soft measurement method
abstract The invention discloses an independent component regression analysis model promotion based melt index soft measurement method. The soft measurement method includes: selecting key variables affecting changes of a melt index as input variables and taking a melt index value acquired from laboratory analysis as output variables; subjecting a modeling data set to multiple resampling to structure multiple subdata sets by adopting a promotion learning algorithm, and establishing an independent component regression analysis model for each subdata set; integrating and compositing information of different submodels to realize online soft measurement for the melt index of the polypropylene production process. By the soft measurement method, soft measurement estimation precision of the melt index of the polypropylene production process can be improved, and robustness of the soft measurement model is improved.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113030156-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113030156-B
priorityDate 2014-04-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID81284
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415772498

Total number of triples: 14.