Analysis of Multilayer Perceptron with Rectifier Linear Unit Activation Function

Meirambek Mukhametkhan; Olga Krestinskaya; Alex James Pappachen

doi:10.1109/CoCoNet.2018.8476902

Analysis of Multilayer Perceptron with Rectifier Linear Unit Activation Function

Meirambek Mukhametkhan, Olga Krestinskaya, Alex James Pappachen

Department of Electrical and Computer Engineering

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

1 Citation (Scopus)

Abstract

The implementation of analog neural network and online analog learning circuits based on memristive crossbar has been intensively explored in the recent years. The design of various activation functions is important for neuromorphic circuits and systems, especially deep leaning neural networks. There are several implementations of sigmoid and tangent activation function, while the analog hardware implementation of the neural networks with linear activation functions is an open problem. Therefore, this paper introduces a multilayer perceptron design with linear activation function using TSMC 130 μ mCMOS technology. In this paper, the performance of the proposed linear activation function is illustrated. In addition, the temperature variation and noise analysis are shown.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	245-249
Number of pages	5
ISBN (Electronic)	9781538659281
DOIs	https://doi.org/10.1109/CoCoNet.2018.8476902
Publication status	Published - Sep 28 2018
Event	2nd International Conference on Computing and Network Communications, CoCoNet 2018 - Astana, Kazakhstan Duration: Aug 15 2018 → Aug 17 2018

Conference

Conference	2nd International Conference on Computing and Network Communications, CoCoNet 2018
Country	Kazakhstan
City	Astana
Period	8/15/18 → 8/17/18

Keywords

Crossbar
Linear Activation Function
Memristor
Multilayer perceptron

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1109/CoCoNet.2018.8476902

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Cite this

Mukhametkhan, M., Krestinskaya, O., & James Pappachen, A. (2018). Analysis of Multilayer Perceptron with Rectifier Linear Unit Activation Function. In Proceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018 (pp. 245-249). [8476902] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoCoNet.2018.8476902

Analysis of Multilayer Perceptron with Rectifier Linear Unit Activation Function. / Mukhametkhan, Meirambek; Krestinskaya, Olga; James Pappachen, Alex.

Proceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 245-249 8476902.

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

Mukhametkhan, M, Krestinskaya, O & James Pappachen, A 2018, Analysis of Multilayer Perceptron with Rectifier Linear Unit Activation Function. in Proceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018., 8476902, Institute of Electrical and Electronics Engineers Inc., pp. 245-249, 2nd International Conference on Computing and Network Communications, CoCoNet 2018, Astana, Kazakhstan, 8/15/18. https://doi.org/10.1109/CoCoNet.2018.8476902

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