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| Hauptseite > Publikationsdatenbank > Performance Analysis of Memristive-CNN based on a VCM Device Model > print |
| Hauptseite > Publikationsdatenbank > Performance Analysis of Memristive-CNN based on a VCM Device Model > print |
| 001 | 912409 | ||
| 005 | 20230502100732.0 | ||
| 024 | 7 | _ | |a 10.1109/ISCAS48785.2022.9937918 |2 doi |
| 024 | 7 | _ | |a WOS:000946638601083 |2 WOS |
| 037 | _ | _ | |a FZJ-2022-05593 |
| 082 | _ | _ | |a 620 |
| 100 | 1 | _ | |a Wang, Yongmin |0 P:(DE-Juel1)188522 |b 0 |u fzj |
| 111 | 2 | _ | |a 2022 IEEE International Symposium on Circuits and Systems (ISCAS) |c Austin |d 2022-05-27 - 2022-06-01 |w TX |
| 245 | _ | _ | |a Performance Analysis of Memristive-CNN based on a VCM Device Model |
| 260 | _ | _ | |a New York, N.Y. |c 2022 |b Inst. of Electr. and Electronics Engineers |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Contribution to a conference proceedings |0 PUB:(DE-HGF)8 |2 PUB:(DE-HGF) |m contrib |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1670409247_17359 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 536 | _ | _ | |a 5233 - Memristive Materials and Devices (POF4-523) |0 G:(DE-HGF)POF4-5233 |c POF4-523 |f POF IV |x 0 |
| 536 | _ | _ | |a BMBF-16ME0398K - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC II - (BMBF-16ME0398K) |0 G:(DE-82)BMBF-16ME0398K |c BMBF-16ME0398K |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef Conference |
| 700 | 1 | _ | |a Ascoli, Alon |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Tetzlaff, Ronald |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Rana, Vikas |0 P:(DE-Juel1)145504 |b 3 |u fzj |
| 700 | 1 | _ | |a Menzel, Stephan |0 P:(DE-Juel1)158062 |b 4 |u fzj |
| 773 | _ | _ | |a 10.1109/ISCAS48785.2022.9937918 |0 PERI:(DE-600)1298665-3 |p 1 |t ... IEEE International Symposium on Circuits and Systems proceedings |v 1 |y 2022 |x 0271-4302 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/912409/files/Performance_Analysis_of_Memristive-CNN_based_on_a_VCM_Device_Model.pdf |y Restricted |
| 909 | C | O | |o oai:juser.fz-juelich.de:912409 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)188522 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)145504 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)158062 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-523 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Neuromorphic Computing and Network Dynamics |9 G:(DE-HGF)POF4-5233 |x 0 |
| 914 | 1 | _ | |y 2022 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 920 | 1 | _ | |0 I:(DE-Juel1)PGI-7-20110106 |k PGI-7 |l Elektronische Materialien |x 0 |
| 920 | 1 | _ | |0 I:(DE-82)080009_20140620 |k JARA-FIT |l JARA-FIT |x 1 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a I:(DE-Juel1)PGI-7-20110106 |
| 980 | _ | _ | |a I:(DE-82)080009_20140620 |
| 980 | _ | _ | |a UNRESTRICTED |
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