http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110362900-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2a66e529758eff7d10cf703d225b78ad |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2119-04 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R31-2642 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R31-44 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-006 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-20 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R31-26 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R31-44 |
| filingDate | 2019-07-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1d4a78caa8d01c2b9c9a51e8886b7bb6 |
| publicationDate | 2019-10-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110362900-A |
| titleOfInvention | A method for predicting the lifetime of LEDs |
| abstract | The invention relates to a method for predicting the life of an LED, comprising the following steps: dividing a data set into a training set and a test set; combining ACO (mixed ant colony) and GSO (firefly) to form an optimization algorithm based on mixed ant colony and firefly (ACO+GSO); ACO+GSO hybrid intelligent optimization algorithm is used to optimize the initial parameters of WNN (wavelet neural network) to avoid detection accuracy problems caused by improper selection of initial parameters, and WNN is used to learn and optimize the training data set model; among them, parameters such as temperature, current, initial luminous flux and initial color coordinates are used as the input of WNN, and the LED life is used as the output of WNN. The problem of poor accuracy improves the calculation accuracy and convergence speed of traditional intelligent algorithms, avoids problems such as local optimization, reduces manual intervention, and improves the reliability of LED life detection. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111914493-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111914493-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113805060-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115639456-A |
| priorityDate | 2019-07-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 27.