http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112733392-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2119-02 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-27 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-23 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 |
| classificationIPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F119-02 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-27 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-23 |
| filingDate | 2020-10-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-02-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-02-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112733392-B |
| titleOfInvention | Reliability analysis method of slope system based on binary classification |
| abstract | The invention provides a method for analyzing the reliability of a slope system based on two classifications, and relates to the field of soil slope reliability analysis. The invention proposes a two classification method BCM, which combines a judgment-based strength embedded in a finite difference program FLAC. Reduction method SRM and an active learning support vector machine ASVM to effectively and accurately estimate the failure probability of a layered slope system; where the judgment-based SRM is used to identify the stable state of the slope system without calculating its precise stability coefficient FS; then adopt the improved three-sigma 3-σ initial sampling point strategy and active learning strategy in turn to approximate the true limit state function LSF, continuously train the SVM classifier, and use the currently trained SVM classifier to sample Latin hypercubes with a large number of samples Compared with the existing technology, the LHS performs failure probability evaluation, which greatly improves the calculation efficiency, and at the same time ensures the calculation accuracy, which has strong practicality. |
| priorityDate | 2020-10-30-04:00^^<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/CID4640 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419494595 |
Total number of triples: 18.