Enhancing neural network classification using fractional-order activation functions

Enhancing neural network classification using fractional-order activation functions

In this paper, a series of novel activation functions is presented, which is derived using the improved Riemann–Liouville conformable fractional derivative (RLCFD). This study investigates the use of fractional activation functions in Multilayer Perceptron (MLP) models and their impact on the perfor...

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Bibliographic Details
Main Authors: Meshach Kumar, Utkal Mehta, Giansalvo Cirrincione
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2024-01-01
Series:AI Open
Subjects:
Fractional calculus
Neural networks
Classification
Multilayer perceptron
Activation functions
Accuracy
Online Access:http://www.sciencedirect.com/science/article/pii/S266665102300030X
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