Yapay Sinir Aglari Uygulamalarina Yonelik Gauss Aktivasyon Fonksiyonu Gerceklemesi

Hacer Atar Yildiz

doi:10.1109/SIU49456.2020.9302124

Yapay Sinir Aglari Uygulamalarina Yonelik Gauss Aktivasyon Fonksiyonu Gerceklemesi

Translated title of the contribution: Gaussian Activation Function Realization with Application to the Neural Network Implementations

Hacer Atar Yildiz^*

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A CMOS Gaussian function generator circuit suitable for the implementation of analog neural networks is proposed. For this purpose, it is considered the polynomial approximation of the Gaussian function. The proposed circuit realizes the Gaussian function characteristic inherently, that is without requiring any accurate tuning or adjustment of the circuit parameters. In order to show the usefulness of the proposed circuit, simulation results obtained using Spectre Simulation tool in Cadence design environment are provided. These results show the validity of the theoretical analysis and feasibility of the proposed structure.

Translated title of the contribution	Gaussian Activation Function Realization with Application to the Neural Network Implementations
Original language	Turkish
Title of host publication	2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728172064
DOIs	https://doi.org/10.1109/SIU49456.2020.9302124
Publication status	Published - 5 Oct 2020
Event	28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey Duration: 5 Oct 2020 → 7 Oct 2020

Publication series

Name	2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

Conference

Conference	28th Signal Processing and Communications Applications Conference, SIU 2020
Country/Territory	Turkey
City	Gaziantep
Period	5/10/20 → 7/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

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10.1109/SIU49456.2020.9302124

Cite this

Yildiz, H. A. (2020). Yapay Sinir Aglari Uygulamalarina Yonelik Gauss Aktivasyon Fonksiyonu Gerceklemesi. In 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings Article 9302124 (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU49456.2020.9302124

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title = "Yapay Sinir Aglari Uygulamalarina Yonelik Gauss Aktivasyon Fonksiyonu Gerceklemesi",

abstract = "A CMOS Gaussian function generator circuit suitable for the implementation of analog neural networks is proposed. For this purpose, it is considered the polynomial approximation of the Gaussian function. The proposed circuit realizes the Gaussian function characteristic inherently, that is without requiring any accurate tuning or adjustment of the circuit parameters. In order to show the usefulness of the proposed circuit, simulation results obtained using Spectre Simulation tool in Cadence design environment are provided. These results show the validity of the theoretical analysis and feasibility of the proposed structure.",

keywords = "Activation function, Gaussian function, Neural network implementation",

author = "Yildiz, {Hacer Atar}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 28th Signal Processing and Communications Applications Conference, SIU 2020 ; Conference date: 05-10-2020 Through 07-10-2020",

year = "2020",

month = oct,

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doi = "10.1109/SIU49456.2020.9302124",

language = "T{\"u}rk{\c c}e",

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Yildiz, HA 2020, Yapay Sinir Aglari Uygulamalarina Yonelik Gauss Aktivasyon Fonksiyonu Gerceklemesi. in 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings., 9302124, 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 28th Signal Processing and Communications Applications Conference, SIU 2020, Gaziantep, Turkey, 5/10/20. https://doi.org/10.1109/SIU49456.2020.9302124

Yapay Sinir Aglari Uygulamalarina Yonelik Gauss Aktivasyon Fonksiyonu Gerceklemesi. / Yildiz, Hacer Atar.
2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9302124 (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Yapay Sinir Aglari Uygulamalarina Yonelik Gauss Aktivasyon Fonksiyonu Gerceklemesi

AU - Yildiz, Hacer Atar

PY - 2020/10/5

Y1 - 2020/10/5

N2 - A CMOS Gaussian function generator circuit suitable for the implementation of analog neural networks is proposed. For this purpose, it is considered the polynomial approximation of the Gaussian function. The proposed circuit realizes the Gaussian function characteristic inherently, that is without requiring any accurate tuning or adjustment of the circuit parameters. In order to show the usefulness of the proposed circuit, simulation results obtained using Spectre Simulation tool in Cadence design environment are provided. These results show the validity of the theoretical analysis and feasibility of the proposed structure.

AB - A CMOS Gaussian function generator circuit suitable for the implementation of analog neural networks is proposed. For this purpose, it is considered the polynomial approximation of the Gaussian function. The proposed circuit realizes the Gaussian function characteristic inherently, that is without requiring any accurate tuning or adjustment of the circuit parameters. In order to show the usefulness of the proposed circuit, simulation results obtained using Spectre Simulation tool in Cadence design environment are provided. These results show the validity of the theoretical analysis and feasibility of the proposed structure.

KW - Activation function

KW - Gaussian function

KW - Neural network implementation

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U2 - 10.1109/SIU49456.2020.9302124

DO - 10.1109/SIU49456.2020.9302124

M3 - Konferans katkısı

AN - SCOPUS:85100304760

T3 - 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

BT - 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 28th Signal Processing and Communications Applications Conference, SIU 2020

Y2 - 5 October 2020 through 7 October 2020

ER -

Yildiz HA. Yapay Sinir Aglari Uygulamalarina Yonelik Gauss Aktivasyon Fonksiyonu Gerceklemesi. In 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9302124. (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings). doi: 10.1109/SIU49456.2020.9302124

Yapay Sinir Aglari Uygulamalarina Yonelik Gauss Aktivasyon Fonksiyonu Gerceklemesi

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