http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114778484-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-0112
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24323
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-359
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-3563
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2415
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-3563
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-359
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
filingDate 2022-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-12-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-12-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114778484-B
titleOfInvention Tea quality grade classification method and device, equipment, storage medium
abstract The invention belongs to the technical field of tea quality detection, and discloses a method for classifying tea quality grades. After obtaining the spectrum to be measured of a tea sample to be tested, the spectrum to be tested is combined with a preset corrected spectrum; One-to-one correspondence of multiple preprocessing modes, the combined matrix is preprocessed to obtain multiple spectral matrices, and each spectral matrix is input into the corresponding quantitative model to obtain the predicted value of various specified inclusions in the tea sample to be tested Input the classification model to obtain the quality grade classification results of the tea samples to be tested; after merging the spectrum to be tested and the spectrum to be tested with preset corrections, calculate the mean spectrum of the combined matrix as a new preset correction spectrum, so as to carry out the preset correction spectrum Update, as the preset corrected spectrum for the grade classification of the next tea sample to be tested, so that the spectrum of the unknown sample can be used to train the preset corrected spectrum, improve the accuracy of the spectrum to be tested, and then improve the accuracy of tea quality grading.
priorityDate 2022-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419518861
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID135403798

Total number of triples: 20.