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KOLKA, Z.; BIOLEK, D.; BIOLKOVÁ, V.; BIOLEK, Z.
Original Title
Evaluation of Memristor Models for Large Crossbar Structures
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
Memristor, model, SPICE, neural networks
Key words in English
Authors
RIV year
2017
Released
19.04.2016
Publisher
IEEE
Location
Košice
ISBN
978-1-5090-1674-7
Book
Proceedings of the 26th International Conference RADIOELEKTRONIKA 2016
Pages from
91
Pages to
94
Pages count
4
URL
http://dx.doi.org/10.1109/RADIOELEK.2016.7477423
BibTex
@inproceedings{BUT128502, author="Zdeněk {Kolka} and Dalibor {Biolek} and Viera {Biolková} and Zdeněk {Biolek}", title="Evaluation of Memristor Models for Large Crossbar Structures", booktitle="Proceedings of the 26th International Conference RADIOELEKTRONIKA 2016", year="2016", pages="91--94", publisher="IEEE", address="Košice", doi="10.1109/RADIOELEK.2016.7477423", isbn="978-1-5090-1674-7", url="http://dx.doi.org/10.1109/RADIOELEK.2016.7477423" }