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

• 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
• Institution: Universiti Teknologi Petronas

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...