http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111667112-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3128c49d9d6cc01c2654df8950f4399b |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-04 |
| filingDate | 2020-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6b7e66aa5bfb65036c3bfab6a36d2263 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6a24812ec313dfd5872b5a35d03c642b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f3f5405d0e66b8f9509ddd79e4790175 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0d8ea8e83495463464757a86803bafdf http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fcd518ee393dae243ec0a7167d6d7861 |
| publicationDate | 2020-09-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-111667112-A |
| titleOfInvention | Fishery resource abundance gray prediction model optimization method and application thereof |
| abstract | The invention discloses a fishery resource abundance gray prediction model optimization method and application thereof, and the method comprises the following steps: preferably selecting a CPUE sequence as a standard sequence for establishing a resource abundance grey prediction model; calculating the gray correlation degree of the influence factors of the resource abundance by utilizing a gray correlation analysis method aiming at the standard sequence, and selecting the influence factors with large gray correlation degree as the factors of the resource abundance gray prediction model; establishing a resource abundance gray prediction model by utilizing a discrete GM model and adopting the selected factors, wherein the established resource abundance gray prediction model comprises a GM (0, N) model and a GM (1, N) model; and carrying out effectiveness analysis on each prediction model, and selecting the model with the minimum relative error as the optimal prediction model. The prediction method of the invention preferably selects the CPUE sequence to overcome the defect of poor prediction stability of the current gray system model; GM models with different orders are established, an optimal prediction model is preferably obtained from the GM models, and prediction accuracy is improved. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2022053452-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7202709-B2 |
| priorityDate | 2020-06-04-04:00^^<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/substance/SID419587070 |
Total number of triples: 20.