http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114757659-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-284 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-103 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-205 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-284 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-10 |
| filingDate | 2022-05-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_caec1be11fd8cc797d8956540515e0a1 |
| publicationDate | 2022-07-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114757659-A |
| titleOfInvention | Research and development project intelligent management system and its management method |
| abstract | The present application relates to the field of intelligent management of research and development projects, and specifically discloses an intelligent management system of research and development projects and a management method thereof, which perform contextual global semantic association features on text parts of research and development projects through a semantic encoder including an embedded layer. The extracted R&D project type labels, the time from the end of the R&D project, and the forecasted R&D results data are also mined globally for implicit correlation features, and further, the key feature vectors and semantic distillation obtained When the vector constructs the associated feature matrix, its scale transfer is constrained, so that the consistency relationship of the semantic distillation vector under scale transfer is transferred to the key feature through the relative position embedding between the key feature vector and the semantic distillation vector. The vector is constrained to ensure the consistency of the probability distribution of the two eigenvectors. In this way, the intelligent early warning of the R&D project is adaptively carried out based on the situation of the project itself. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115099684-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115693918-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115796173-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115693918-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115796173-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115880036-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115408351-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115994668-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116663568-A |
| priorityDate | 2022-05-19-04:00^^<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/compound/CID24404 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419559532 |
Total number of triples: 26.