Name
Title | ||
|---|---|---|
A New Activation Function For Artificial Neural Net Based Habitability Classification |
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICACCI.2018.8554460 | 2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) |
Keywords | DocType | Citations |
astroinformatics, machine learning, exoplanets, artificial neural networks, activation function | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Snehanshu Saha | 1 | 46 | 17.96 |
| Archana Mathur | 2 | 0 | 0.34 |
| Kakoli Bora | 3 | 0 | 0.34 |
| Suryoday Basak | 4 | 1 | 0.72 |
| Surbhi Agrawal | 5 | 1 | 2.08 |