AccScience Publishing / IJOCTA / Volume 10 / Issue 1 / DOI: 10.11121/ijocta.01.2020.00756
RESEARCH ARTICLE

New complex-valued activation functions

Nihal Ozg¨ur1* Nihal Ta¸1 James F. Peters2
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1 Department of Mathematics, Balıkesir University, Turkey
2 Computational Intelligence Laboratory, University of Manitoba, Canada
Submitted: 3 December 2018 | Accepted: 24 October 2019 | Published: 14 January 2020
© 2020 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

We present a new type of activation functions for a complex-valued neural network (CVNN). A proposed activation function is constructed such that it fixes a given ellipse. We obtain an application to a complex-valued Hopfield neural network (CVHNN) using a special form of the introduced complex functions as an activation function. Considering the interesting geometric properties of the plane curve ellipse such as focusing property, we emphasize that these properties may have possible applications in various neural networks. 

Keywords
Complex valued neural network
complex-valued Hopfield neural network
activation function
fixed ellipse
Conflict of interest
The authors declare they have no competing interests.
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