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KOLKA, Z. BIOLEK, D. BIOLKOVÁ, V. BIOLEK, Z.
Originální název
Evaluation of Memristor Models for Large Crossbar Structures
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Memristor, model, SPICE, neural networks
Autoři
KOLKA, Z.; BIOLEK, D.; BIOLKOVÁ, V.; BIOLEK, Z.
Vydáno
19. 4. 2016
Nakladatel
IEEE
Místo
Košice
ISBN
978-1-5090-1674-7
Kniha
Proceedings of the 26th International Conference RADIOELEKTRONIKA 2016
Strany od
91
Strany do
94
Strany počet
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" }