In this paper we analyse the impact of the line resistance in memristor cross-point arrays (MCA) on the inference accuracy of a Multi-Layer Perceptron (MLP) ...

In this paper, we evaluate the inference accuracy degradation as a function of RL for a Multi Layer Perceptron (MLP), trained ex-situ to classify the grayscale ...

The obtained results indicate that MLPs are more sensitive to the line resistance effect than SLPs and that partitioning is the most effective way to minimize ...

The obtained results indicate that MLPs are more sensitive to the line resistance effect than SLPs and that partitioning is the most effective way to minimize ...

In this paper, a neuromorphic crossbar circuit with binary memristors is proposed for speech recognition. The binary memristors which are based on filamentary- ...

Feb 9, 2021 · The obtained results indicate that MLPs are more sensitive to the line resistance effect than SLPs and that partitioning is the most effective ...

In this paper, we extend the application of the Quasi-Static Memdiode model to the realistic SPICE simulation of memristor-based single (SLPs) and ...

In this paper, we extend the application of the Quasi-Static Memdiode model to the realistic SPICE simulation of memristor-based single (SLPs) and ...

The obtained results indicate that MLPs are more sensitive to the line resistance effect than SLPs and that partitioning is the most effective way to minimize ...

Two approaches to reduce the impact of the line resistance are considered and implemented in our simulations, they are the inclusion of an iterative calibration ...