APPLICATION OF MACHINE LEARNING ALGORITHMS FOR MODELING THE CURRENT-VOLTAGE CHARACTERISTIC OF A MEMRISTOR

Abstract

The goal of this work is to explore the possibility of using machine learning algorithms for modeling the current-voltage characteristic of a memristor, using modeling of HfO2 and TiO2 based memristors as an example. The possibility of combining several mathematical models based on the predictions of individual models is investigated. The results obtained using the combined model are compared with the predictions of individual models and experimental data.