| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_1ee795806f34630227053579e4d129ba |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2219-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2111-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2113-08 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-049
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-27
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F113-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F111-10 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-27
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate |
2021-09-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_44d41dab781a5d9b2dce27459777c0a7
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fd637ed17bb1ae7b052b766e160e52d5
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3bba7edb820d85c424364f6bd86df9bc
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b612c51e0c9ac26ab77c451a33339196
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_25a00a2eee110d31676fa55d30724f6e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4c8b5b2cdc5f62e94f74d462c5bbd69a |
| publicationDate |
2021-12-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-113836807-A |
| titleOfInvention |
A forecasting and early warning method of river and lake ecological flow based on entropy method and long short-term memory neural network |
| abstract |
The invention discloses a river and lake ecological flow forecast and early warning method based on an entropy value method and a long-short-term memory neural network, aiming to establish an efficient river and lake ecological flow forecast and early warning model and improve its forecasting accuracy. The method includes: 1) estimating the approved value of the ecological flow of the river and lake section based on the monthly minimum flow frequency curve method; 2) proposing different warning levels and thresholds based on the ecological protection objects of the river and lake; Feature weights of meteorological and hydraulic engineering scheduling data; 4) Build a river and lake ecological flow forecasting and early warning model based on long short-term memory neural network. The invention has the beneficial effects that the forecasting accuracy of ecological flow can be effectively improved, the technical support for the regional ecological flow early warning mechanism can be provided, and the valuable reference can be provided for the optimal scheduling decision of water resources in the basin. |
| priorityDate |
2021-09-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |