http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113420808-A
Outgoing Links
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|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a467cf15b174645890bebc865b79d65d |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A90-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A10-40 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01W1-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-254 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-049 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01W1-14 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01W1-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01W1-14 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate | 2021-06-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a4989beccdef383c474802f98dd241c4 |
| publicationDate | 2021-09-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113420808-A |
| titleOfInvention | A hydrological forecasting method and system based on fusion of inversion data and measured data |
| abstract | The invention discloses a hydrological forecasting method and system based on the fusion of inversion data and measured data. The method comprises: collecting measured data and constructing a MIKE-SHE hydrological model according to the measured data; and obtaining inversion data based on the MIKE-SHE hydrological model; Integrate the measured data and inversion data to obtain fused data; build multiple machine learning models based on the fused data; weight each machine learning model based on the comprehensive evaluation method to carry out real-time combined hydrological forecasting. The system includes: a hydrological model building module, a data inversion module, a data fusion module, a multi-machine learning module building module and a forecasting module. By using the present invention, the hydrological prediction accuracy can be improved. As a hydrological forecasting method and system based on the fusion of inversion data and measured data, the present invention can be widely used in combining hydrological forecasting accuracy. |
| priorityDate | 2021-06-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 |
Total number of triples: 28.