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Mathematical Modeling of a Self-Learning Neuromorphic Network Based on Nanosized Memristive Elements with a 1T1R-Crossbar-Architecture |
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| Authors: | Morozov A Yu Abgaryan K K Reviznikov D L |
| Affiliation: | 1.Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, 119333, Moscow, Russia ;2.Moscow Aviation Institute (National Research University), 125993, Moscow, Russia ; |
| Abstract: | Russian Microelectronics - Artificial neural networks play an important role in the modern world. Their main field of application is the tasks of recognizing and processing images, speech,... |
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| 本文献已被 SpringerLink 等数据库收录！ | |
