Evaluation of Memristor Models for Large Crossbar Structures

被引：0

作者：

Kolka, Zdenek ^{[1
]}

Biolek, Dalibor ^{[1
]}

Biolkova, Viera ^{[1
]}

Biolek, Zdenek ^{[1
]}

机构：

[1] Brno Univ Technol, Dept Microelect, Dept Radio Elect, CS-61090 Brno, Czech Republic

来源：

PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA 2016) | 2016年

关键词：

Memristor; model; SPICE; neural networks; DEVICES; CIRCUITS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper is focused on comparing selected SPICE models of TiO2 memristors with respect to time-and memory requirements in the simulation of very large artificial neural networks, which are most likely the first real-world applications of memristors as analog memories. All models were implemented as HSPICE macros and simulated in a Multilayer Perceptron artificial neural network with variable configuration. The results show that after applying modifications to the models in order to prevent numerical overflows it is possible to simulate networks with tens of thousands of memristors.

引用

页码：91 / 94

页数：4

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