http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110162744-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L67-12 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L67-12 |
| filingDate | 2019-05-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2023-01-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2023-01-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110162744-B |
| titleOfInvention | A new tensor-based multiple estimation method for missing data in Internet of Vehicles |
| abstract | The present invention proposes a tensor-based multi-estimation method for missing data in the Internet of Vehicles. The integrated Bayesian tensor decomposition (IBTD) belongs to the field of Internet of Vehicles. In the stage of data model construction, this algorithm uses the principle of random sampling to randomly extract missing data to generate data subsets, and uses the optimized Bayesian tensor decomposition algorithm for interpolation. Introduce the idea of integration, analyze and sort the error results after multiple interpolations, consider the complexity of time and space, and choose the best average to get the optimal result. The performance of the proposed model was evaluated by Mean Absolute Percent Error (MAPE) and Root Mean Square Error (RMSE). Experimental results show that the proposed new method can effectively imput traffic data sets with different missing amounts, and can obtain good imputation results. |
| priorityDate | 2019-05-21-04:00^^<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/compound/CID135398670 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419587901 |
Total number of triples: 16.