| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8d0fc2b70675ee19bd5fc464f5ae9061 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A90-10 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-0442
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2135
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-0985
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01W1-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate |
2019-08-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2020-08-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a48d1bf05af9d698a2b332b8778b4f39
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1a1e4990c450db819f4a8b1b7b9b8885 |
| publicationDate |
2020-08-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
KR-102149495-B1 |
| titleOfInvention |
Optimization apparatus for training conditions of environmental prediction model and operating thereof |
| abstract |
The present invention relates to an apparatus for optimizing training indicators of an environment prediction model and a method of operation thereof, wherein the apparatus for optimizing training indicators according to an embodiment includes a preprocessor for configuring a base data set for environmental measurement data, and multi-resolution wavelet analysis and A dynamic characteristic processing unit that identifies and extracts dynamic characteristics of the base data set configured through the reduction technique, and the driving force for environmental measurement data based on the extracted dynamic characteristics are identified and evaluated, and in response to the evaluation result, a key characteristic value group ( key features group) and an index optimizer that receives the selected core feature group and environmental measurement data as inputs and controls a plurality of training index values corresponding to the environmental prediction model. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115240394-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115096357-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102409155-B1 |
| priorityDate |
2019-08-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |