| 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/B01J2219-00051
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B01J2219-00191
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B01J2219-00231 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B01J19-0013
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B19-41885
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/G06N3-088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B19-4183
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B17-02
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 |
| 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 |
2022-02-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114072811-A |
| titleOfInvention |
Learning device, operating method of learning device, operating program of learning device, and operating device |
| abstract |
The present invention provides a method that can further improve the prediction accuracy of product quality by the machine learning model when the multidimensional physical property related data derived from the multidimensional physical property data of the product is provided as the input data for learning to the machine learning model for learning. A learning device, an operating method of the learning device, an operating program of the learning device, and an operating device. The first derivation unit of the learning device applies the autoencoder to the multidimensional physical property data, and derives the multidimensional physical property related data related to the multidimensional physical property data as input data for learning. The learning section supplies the learning input data including multi-dimensional physical property related data to the machine learning model for learning, and outputs the machine learning model as a learned model for practical use. |
| priorityDate |
2019-07-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |