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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| Main Authors: | , , |
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| Format: | Article |
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Elsevier Ltd
2024
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| 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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