A Variability-Aware Data Preprocessing Method for Data-Driven Memristive Device Inverse Modeling

Data-driven learning methods have great potential in optimizing memristive devices, yet its application in memristor inverse modeling is still facing big challenge due to the scarcity of experimental data and device randomness. Here, we proposes a novel data preprocessing method including data gener... View More