| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_268be9afa00cf55b5aa72b1612151ecb |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-258
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B01J2219-00191
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B01J2219-00231
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B01J2219-00051 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B17-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B01J19-0013
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B19-41885
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B19-4183 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate |
2020-05-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a8742ef7f135e938048dd9233cca46e1 |
| publicationDate |
2021-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2021002110-A1 |
| titleOfInvention |
Learning device, operating method of learning device, operating program of learning device, and operating device |
| abstract |
Provided are a learning device, an operating method of a learning device, an operating program of a learning device, and an operating device capable of further improving the accuracy of the prediction of a quality of a product by a machine learning model, when the machine learning model is trained by supplying multidimensional physical property-related data derived from multidimensional physical property data of the product to the machine learning model as training input data. A first deriving unit of the learning device derives the multidimensional physical property-related data related to the multidimensional physical property data as the training input data by applying an autoencoder to the multidimensional physical property data. A training unit trains the machine learning model by supplying the training input data including the multidimensional physical property-related data to the machine learning model, and outputs the machine learning model as a trained model for use in actual operations. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-4246251-A1 |
| priorityDate |
2019-07-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |