http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113196312-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_fd221d21998567268ab28734915df324 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A01G7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-047 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate | 2019-11-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_acf791d91c8921b3f0435ade789270c6 |
| publicationDate | 2021-07-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113196312-A |
| titleOfInvention | Model generation device, model generation method, model generation program, model generation system, inspection system, and monitoring system |
| abstract | Provides techniques for building generative models capable of generating a wide variety of data. A model generation device according to an aspect of the present invention includes a generation unit that generates data using the generation model, and a transmission unit that transmits the generated data to a plurality of learned recognition models, so that each recognition model performs recognition on the data, and a plurality of learning The completed recognition model respectively obtains the ability to recognize whether the provided data is local learning data through machine learning using the local learning data; the receiving part receives the result of each recognition model recognizing the sent data; and the learning processing part, The generative model is trained by machine learning using the received recognition results to generate data that degrades the recognition performance of at least any one of the plurality of recognition models. |
| priorityDate | 2019-01-18-04:00^^<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/SID426106964 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID6436605 |
Total number of triples: 20.