http://rdf.ncbi.nlm.nih.gov/pubchem/patent/ES-2435093-R1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_81e5e5b8bf9385af8644bb09b9c75df0 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T1-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T1-00 |
| filingDate | 2012-06-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b6635790849a7ad7007d1856ec3ed22f |
| publicationDate | 2014-04-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | ES-2435093-R1 |
| titleOfInvention | NEURONAL NETWORK TRAINING PROCEDURE FOR CENTELLEATING DETECTORS. |
| abstract | Neural network training procedure for scintillation detectors # Neural network training procedure for gamma detectors formed by a scintillating monolithic crystal (1) with an input face and another face optically coupled to an array of photodetectors (3), where Place a radioactive source (6) near the entrance face of the block and move it along pre-established points for the acquisition of events at each point, where the points are located on lines that form a mesh at a certain distance which allows to reduce training time. |
| priorityDate | 2012-06-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 15.