记忆电阻器
计算机科学
人工智能
电子工程
工程类
作者
Silvia Battistoni,Victor Erokhin,Salvatore Iannotta
标识
DOI:10.1088/1361-6463/aac98f
摘要
One of the most challenging tasks in neuromorphic applications, in the field of artificial intelligence, is the hardware realization of artificial neural networks (ANNs) which are able to learn during information processing (pattern recognition and classification, approximation, prediction, etc).
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