Deep learning classifiers with memristive networks: theory and applications
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2020]
|
| Schriftenreihe: | Modeling and optimization in science and technologies
14 |
| Schlagworte: | |
| Online-Zugang: | BFB01 BTU01 FAB01 FAW01 FFW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FWS01 FWS02 HTW01 TUM01 UBT01 UBY01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (xiii, 213 Seiten) Illustrationen, Diagramme |
| ISBN: | 9783030145248 |
| DOI: | 10.1007/978-3-030-14524-8 |
Internformat
MARC
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Datensatz im Suchindex
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| discipline | Informatik |
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| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-08-01T14:42:56Z |
| institution | BVB |
| isbn | 9783030145248 |
| language | English |
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| physical | 1 Online-Ressource (xiii, 213 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-2-INR ZDB-2-INR_2020 |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer |
| record_format | marc |
| series | Modeling and optimization in science and technologies |
| series2 | Modeling and optimization in science and technologies |
| spellingShingle | Deep learning classifiers with memristive networks theory and applications Modeling and optimization in science and technologies Computational Intelligence Pattern Recognition Data Mining and Knowledge Discovery Image Processing and Computer Vision Engineering Optical pattern recognition Data mining Computer vision |
| title | Deep learning classifiers with memristive networks theory and applications |
| title_auth | Deep learning classifiers with memristive networks theory and applications |
| title_exact_search | Deep learning classifiers with memristive networks theory and applications |
| title_full | Deep learning classifiers with memristive networks theory and applications Alex Pappachen James - editor |
| title_fullStr | Deep learning classifiers with memristive networks theory and applications Alex Pappachen James - editor |
| title_full_unstemmed | Deep learning classifiers with memristive networks theory and applications Alex Pappachen James - editor |
| title_short | Deep learning classifiers with memristive networks |
| title_sort | deep learning classifiers with memristive networks theory and applications |
| title_sub | theory and applications |
| topic | Computational Intelligence Pattern Recognition Data Mining and Knowledge Discovery Image Processing and Computer Vision Engineering Optical pattern recognition Data mining Computer vision |
| topic_facet | Computational Intelligence Pattern Recognition Data Mining and Knowledge Discovery Image Processing and Computer Vision Engineering Optical pattern recognition Data mining Computer vision |
| url | https://doi.org/10.1007/978-3-030-14524-8 |
| volume_link | (DE-604)BV045398168 |
| work_keys_str_mv | AT jamesalexpappachen deeplearningclassifierswithmemristivenetworkstheoryandapplications |