| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5fb9629623e8bc20ee7f9db0dd659a30 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-041
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-047
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N5-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate |
2021-08-25^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_647af4a7f562bbae69866384b1f6640b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_62990ddef7625d9beca3b0cf0f0aec07
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a38130f6e7f5c3361a8a8208a7ebb6fb
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_503c960937bf8b315849e51e64c25cad
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e2f981d3eb6e312f5fe87b763b8bb83e |
| publicationDate |
2021-12-24^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-113837358-A |
| titleOfInvention |
System strategy prediction method and related equipment based on Granger causality |
| abstract |
The embodiments of the present application belong to the field of artificial intelligence, and relate to a system strategy prediction method based on Granger causality, including collecting relevant parameters and industrial data, wherein the relevant parameters include at least one module variable of at least one system module, so The industrial data is the historical data of each module variable; based on the historical data, the Granger causality analysis method based on the attention mechanism is used to carry out causal analysis on each module variable, and the relationship between the historical data of each module variable and the current data is obtained. The Granger causality strength of the system; construct a graph data structure to describe the system topology of the industrial system; input the constructed graph data structure into the prediction model to obtain the prediction result of the system strategy. This method improves the prediction accuracy of the model. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114579407-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114579407-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114636788-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114636788-A |
| priorityDate |
2021-08-25^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |