用机器学习算法确定记忆电阻器模型参数提取问题的初始猜测

Mathematical modeling in materials science of electronic component Pub Date : 2020-10-16 DOI:10.29003/m1539.mmmsec-2020/127-130

E. Shamin, D. Zhevnenko, F. Meshchaninov, V. Kozhevnikov, E. Gornev

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摘要

本文重点研究了从实验得到的电流-电压特性中提取忆阻器模型参数的算法。提出了基于电流-电压特征的初始猜测问题，并利用机器学习算法进行求解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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DETERMINATION OF THE INITIAL GUESS FOR THE PROBLEM OF MEMRISTOR MODEL PARAMETERS EXTRACTION USING MACHINE LEARNING ALGORITHMS

The focus of this work is on the algorithm of extraction of parameters of the memristor model from the experimentally obtained current-voltage characteristics. The problem of finding the initial guess for this algorithm based on current-voltage characteristic features is stated and solved by means of machine learning algorithms.

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Mathematical modeling in materials science of electronic component

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