http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108921211-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_4cdacda0f306eef1b23ae93bf6a65b13 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2321 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2018-06-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3e299633ad189e5c515b7d1d637c52dc http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f2c1ae7551cb8f72896382313fdec3d0 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c33ff439bb918ddcef82dce246613b1e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5133d8918eb0fafa7221a11a9224525b |
| publicationDate | 2018-11-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108921211-A |
| titleOfInvention | A Method for Calculating Fractal Dimension Based on Density Peak Clustering |
| abstract | The invention relates to a method for calculating fractal dimension based on a density peak clustering algorithm, which belongs to the field of signal processing. The method includes the following steps: S1: Obtaining a one-dimensional chaotic time series signal from an actual project; S2: Preprocessing the sampled time series data by using a k-d tree optimized GP algorithm to obtain a set of associated integral logarithms; S3: Perform second-order difference on the obtained data, and use the density peak clustering algorithm to extract zero-fluctuation data; S4: Select the interval of continuous natural numbers in the zero-fluctuation data for statistical analysis, and retain valid zero-fluctuation data; S5: Use the least square method to Fit the data and calculate the correlation dimension. The method can objectively and accurately automatically identify the scale-free interval, the calculation result is more accurate, the process is simple, and it is easy to implement, which has great significance for nonlinear applications. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110390253-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116401561-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110263825-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110263825-A |
| priorityDate | 2018-06-27-04:00^^<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/SID415713197 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572 |
Total number of triples: 20.