AI Chat AI Image Generator AI Video Text to Speech

SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification

06/06/2018

∙

by Snehanshu Saha, et al.

∙

∙

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. Keywords: Astroinformatics, Machine Learning, Exoplanets, ANN, Activation Function.

Snehanshu Saha
22 publications
Archana Mathur
6 publications
Kakoli Bora
2 publications
Surbhi Agrawal
3 publications
Suryoday Basak
6 publications

page 1

page 2

page 3

page 4

research

∙ 08/27/2019

The Function Representation of Artificial Neural Network

This paper expresses the structure of the artificial neural network as a...

0 Zhongkui Ma, et al. ∙

research

∙ 02/08/2018

A Generalization Method of Partitioned Activation Function for Complex Number

A method to convert real number partitioned activation function into com...

0 HyeonSeok Lee, et al. ∙

research

∙ 01/15/2021

A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function

The activation function plays a fundamental role in the artificial neura...

0 Tiago A. E. Ferreira, et al. ∙

research

∙ 07/31/2020

An Investigation on Deep Learning with Beta Stabilizer

Artificial neural networks (ANN) have been used in many applications suc...

0 Qi Liu, et al. ∙

research

∙ 02/03/2016

A continuum among logarithmic, linear, and exponential functions, and its potential to improve generalization in neural networks

We present the soft exponential activation function for artificial neura...

0 Luke B. Godfrey, et al. ∙

research

∙ 08/21/2022

Collaboration between parallel connected neural networks – A possible criterion for distinguishing artificial neural networks from natural organs

We find experimentally that when artificial neural networks are connecte...

0 Guang Ping He, et al. ∙

research

∙ 11/23/2019

Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding

The study presents an oscillator circuit for a spike neural network with...

0 Andrei Velichko, et al. ∙