Analog CMOS Implementation for Swish Activation Function

In analog computation, there are very few types of activation functions. In this study, we created a circuit that generates the difference between the Swish and the ReLU activation function, and aimed to mimic the behavior of the Swish function by combining ReLU and the difference. We obtained outputs close to the difference between the swish function and the ReLU function in simulation. We also confirmed that the sum of ReLU and the output works as activation function in neural networks on software.

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Publication Details

Journal
IEEJ Transactions on Electronics Information and Systems
Published
2025-12-31
DOI
https://doi.org/10.1541/ieejeiss.146.9
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Analog CMOS Implementation for Swish Activation Function

Katsutoshi Saeki, Ibuki Terada
IEEJ Transactions on Electronics Information and Systems
Advanced Memory and Neural Computing
article

Analog CMOS Implementation for Swish Activation Function

Katsutoshi Saeki, Ibuki Terada
article en

Abstract

In analog computation, there are very few types of activation functions. In this study, we created a circuit that generates the difference between the Swish and the ReLU activation function, and aimed to mimic the behavior of the Swish function by combining ReLU and the difference. We obtained outputs close to the difference between the swish function and the ReLU function in simulation. We also confirmed that the sum of ReLU and the output works as activation function in neural networks on software.

IEEJ Transactions on Electronics Information and SystemsVol. 146(1)
Nihon University (JP)
Openalex Percentile: Top 40%
Advanced Memory and Neural Computing
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