http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106815732-A

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2d1456b19fdbe225f467e69297b06f3f
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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q30-0282
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q30-0201
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-067
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q30-02
filingDate 2015-11-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5520de247465830f8ca9c81f30c225df
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publicationDate 2017-06-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-106815732-A
titleOfInvention Computational methods and computing system
abstract A kind of computational methods suitable for multiple input datas are included and for input data to be split as training data and test data, training data is individually entered into multiple Mathematical Modelings carries out computing acquisition operation result, comparison calculation result obtains similarity degree and adjusts the parameter combination of those Mathematical Modelings repeatedly according to similarity degree with test data, and one of which is selected in multiple Mathematical Modelings according to similarity degree and parameter combination.
priorityDate 2015-11-27-04:00^^<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.