| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f3318f988320c9c471d0df87c3f70b19 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-26
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-0635
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-26
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate |
2022-03-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_654bd94c8ab04d596cd01fdb84687b3d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_96042db09ed2123b1dc3f7378b6f3175
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6ef5af9f8fbfdb6ca4d86a003175cf4d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8d890ccc60a988809c13c9764573711c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d593e545214e47a17ba6e376994e7f78
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d1590abb65a148cbbd066bdd8776120b |
| publicationDate |
2022-06-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114580934-A |
| titleOfInvention |
Early warning method of food inspection data risk based on unsupervised anomaly detection |
| abstract |
The present invention is an early warning method for food detection data risk based on unsupervised abnormal detection. The early warning method of food inspection data risk based on unsupervised anomaly detection includes the following steps: (1) data preprocessing: convert the original data into a feature matrix that can be identified by a feature extractor, and obtain processed data; The processed data is input into an autoencoder or a noise reduction autoencoder for data fitting, and then a risk value is obtained through AE model training; (3) the risk level is divided according to the risk value. The early warning method for food detection data risk based on unsupervised abnormal detection according to the present invention greatly improves the early warning efficiency. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116166978-A |
| priorityDate |
2022-03-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |