Name
Title | ||
|---|---|---|
SBAF: 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 doesnu0027t 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 | Venue | Field |
|---|---|---|
2018 | arXiv: Learning | Habitability,Computer science,Activation function,Control engineering,Artificial intelligence,Artificial neural network |
DocType | Volume | Citations |
Journal | abs/1806.01844 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Snehanshu Saha | 1 | 46 | 17.96 |
| Archana Mathur | 2 | 0 | 0.34 |
| Kakoli Bora | 3 | 1 | 1.40 |
| Surbhi Agrawal | 4 | 1 | 2.08 |
| Suryoday Basak | 5 | 0 | 0.68 |