Home > Publications database > Design und Anwendung eines skalierbaren parallelen künstlichen neuronalen Netz > print |
001 | 825316 | ||
005 | 20210129225258.0 | ||
037 | _ | _ | |a FZJ-2016-07779 |
100 | 1 | _ | |a Richerzhagen, Matthias |0 P:(DE-Juel1)145217 |b 0 |e Corresponding author |
245 | _ | _ | |a Design und Anwendung eines skalierbaren parallelen künstlichen neuronalen Netz |f - 2016-10-18 |
260 | _ | _ | |c 2016 |
300 | _ | _ | |a 76 p. |
336 | 7 | _ | |a Output Types/Supervised Student Publication |2 DataCite |
336 | 7 | _ | |a Thesis |0 2 |2 EndNote |
336 | 7 | _ | |a MASTERSTHESIS |2 BibTeX |
336 | 7 | _ | |a masterThesis |2 DRIVER |
336 | 7 | _ | |a Master Thesis |b master |m master |0 PUB:(DE-HGF)19 |s 1482504214_29342 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a SUPERVISED_STUDENT_PUBLICATION |2 ORCID |
502 | _ | _ | |a Fachhochschule Aachen, Masterarbeit, 2016 |c Fachhochschule Aachen |b MS |d 2016 |o 2016-10-18 |
536 | _ | _ | |a 512 - Data-Intensive Science and Federated Computing (POF3-512) |0 G:(DE-HGF)POF3-512 |c POF3-512 |f POF III |x 0 |
650 | _ | 7 | |x Masterarbeit |
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909 | C | O | |o oai:juser.fz-juelich.de:825316 |p VDB |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)145217 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-512 |2 G:(DE-HGF)POF3-500 |v Data-Intensive Science and Federated Computing |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
914 | 1 | _ | |y 2016 |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
980 | _ | _ | |a master |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
980 | _ | _ | |a UNRESTRICTED |
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