A New Activation Function for Artificial Neural Net Based Habitability Classification

Document Type

Conference Article

Publication Title

International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018

Abstract

We explore the efficacy of using a novel activation function in Artificial Neural Networks (ANN) in characterizing exoplanets into different classes. We call this Saha-Bora Activation Function (SBAF) as the motivation is derived from long standing understanding of using advanced calculus in modeling habitability score of Exoplanets. The function is demonstrated to possess nice analytical properties and doesn't seem to suffer from local oscillation problems. The manuscript presents the analytical properties of the activation function and the architecture implemented on the function.

First Page

1781

Last Page

1786

DOI

10.1109/ICACCI.2018.8554460

Publication Date

11-30-2018

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