Fractional ordering of activation functions for neural networks: A case study on Texas wind turbine

Activation functions play an important role in deep learning models by introducing non-linearity to the output of a neuron, enabling the network to learn complex patterns and non-linear relationships in data and make predictions on more complex tasks. Deep learning models� most commonly used activ...

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Bibliographic Details
Main Authors: Ramadevi, B., Kasi, V.R., Bingi, K.
Format: Article
Published: Elsevier Ltd 2024
Online Access:http://scholars.utp.edu.my/id/eprint/37730/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174329387&doi=10.1016%2fj.engappai.2023.107308&partnerID=40&md5=7374f922ed8f76dff4dddff12c075d70
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