Analog Neural Network based on Memristor Crossbar Arrays

Hacer A. Yildiz; Mustafa Altun; Ali Dogus Gungordu; Mircea R. Stan

doi:10.23919/ELECO47770.2019.8990597

Analog Neural Network based on Memristor Crossbar Arrays

Hacer A. Yildiz, Mustafa Altun, Ali Dogus Gungordu, Mircea R. Stan

Elektronik ve Hab.Müh.Bölümü

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

In this paper, a new feed forward analog neural network is designed using a memristor based crossbar array architecture. This structure consists of positive and negative polarity connection matrices. In order to show the performance and usefulness of the proposed circuit, it is considered a sample application of iris data recognition. The proposed neural network implementation is approved by the simulation in Cadence design environment using 0.35μm CMOS technology. The results obtained are promising for the implementation of high density neural network.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	358-361
Sayfa sayısı	4
ISBN (Elektronik)	9786050112757
DOI'lar	https://doi.org/10.23919/ELECO47770.2019.8990597
Yayın durumu	Yayınlandı - Kas 2019
Etkinlik	11th International Conference on Electrical and Electronics Engineering, ELECO 2019 - Bursa, Turkey Süre: 28 Kas 2019 → 30 Kas 2019

Yayın serisi

Adı	ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	11th International Conference on Electrical and Electronics Engineering, ELECO 2019
Ülke/Bölge	Turkey
Şehir	Bursa
Periyot	28/11/19 → 30/11/19

Bibliyografik not

Publisher Copyright:
© 2019 Chamber of Turkish Electrical Engineers.

Finansman

This work is part of a project that has received funding from the European Union’s H2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement #691178

Finansörler	Finansör numarası
Horizon 2020 Framework Programme	691178

Belgeye Erişim

10.23919/ELECO47770.2019.8990597

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Yildiz, H. A., Altun, M., Gungordu, A. D., & Stan, M. R. (2019). Analog Neural Network based on Memristor Crossbar Arrays. In ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering (pp. 358-361). Makale 8990597 (ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELECO47770.2019.8990597

Yildiz, Hacer A. ; Altun, Mustafa ; Gungordu, Ali Dogus et al. / Analog Neural Network based on Memristor Crossbar Arrays. ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 358-361 (ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering).

@inproceedings{cd0facc8a21049588c58d7860cfeca5d,

title = "Analog Neural Network based on Memristor Crossbar Arrays",

abstract = "In this paper, a new feed forward analog neural network is designed using a memristor based crossbar array architecture. This structure consists of positive and negative polarity connection matrices. In order to show the performance and usefulness of the proposed circuit, it is considered a sample application of iris data recognition. The proposed neural network implementation is approved by the simulation in Cadence design environment using 0.35μm CMOS technology. The results obtained are promising for the implementation of high density neural network.",

author = "Yildiz, {Hacer A.} and Mustafa Altun and Gungordu, {Ali Dogus} and Stan, {Mircea R.}",

note = "Publisher Copyright: {\textcopyright} 2019 Chamber of Turkish Electrical Engineers.; 11th International Conference on Electrical and Electronics Engineering, ELECO 2019 ; Conference date: 28-11-2019 Through 30-11-2019",

year = "2019",

month = nov,

doi = "10.23919/ELECO47770.2019.8990597",

language = "English",

series = "ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "358--361",

booktitle = "ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering",

address = "United States",

}

Yildiz, HA , Altun, M, Gungordu, AD & Stan, MR 2019, Analog Neural Network based on Memristor Crossbar Arrays. in ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering., 8990597, ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering, Institute of Electrical and Electronics Engineers Inc., pp. 358-361, 11th International Conference on Electrical and Electronics Engineering, ELECO 2019, Bursa, Turkey, 28/11/19. https://doi.org/10.23919/ELECO47770.2019.8990597

Analog Neural Network based on Memristor Crossbar Arrays. / Yildiz, Hacer A.; Altun, Mustafa; Gungordu, Ali Dogus et al.
ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering. Institute of Electrical and Electronics Engineers Inc., 2019. p. 358-361 8990597 (ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Analog Neural Network based on Memristor Crossbar Arrays

AU - Yildiz, Hacer A.

AU - Altun, Mustafa

AU - Gungordu, Ali Dogus

AU - Stan, Mircea R.

PY - 2019/11

Y1 - 2019/11

N2 - In this paper, a new feed forward analog neural network is designed using a memristor based crossbar array architecture. This structure consists of positive and negative polarity connection matrices. In order to show the performance and usefulness of the proposed circuit, it is considered a sample application of iris data recognition. The proposed neural network implementation is approved by the simulation in Cadence design environment using 0.35μm CMOS technology. The results obtained are promising for the implementation of high density neural network.

AB - In this paper, a new feed forward analog neural network is designed using a memristor based crossbar array architecture. This structure consists of positive and negative polarity connection matrices. In order to show the performance and usefulness of the proposed circuit, it is considered a sample application of iris data recognition. The proposed neural network implementation is approved by the simulation in Cadence design environment using 0.35μm CMOS technology. The results obtained are promising for the implementation of high density neural network.

UR - http://www.scopus.com/inward/record.url?scp=85080896855&partnerID=8YFLogxK

U2 - 10.23919/ELECO47770.2019.8990597

DO - 10.23919/ELECO47770.2019.8990597

M3 - Conference contribution

AN - SCOPUS:85080896855

T3 - ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering

SP - 358

EP - 361

BT - ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th International Conference on Electrical and Electronics Engineering, ELECO 2019

Y2 - 28 November 2019 through 30 November 2019

ER -

Yildiz HA , Altun M, Gungordu AD, Stan MR. Analog Neural Network based on Memristor Crossbar Arrays. In ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering. Institute of Electrical and Electronics Engineers Inc. 2019. p. 358-361. 8990597. (ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering). doi: 10.23919/ELECO47770.2019.8990597

Analog Neural Network based on Memristor Crossbar Arrays

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap