Fractional-Order Activation Functions for Neural Networks Case Studies on Forecasting Wind Turbines' Generated Power /

This book suggests the development of single and multi-layer fractional-order neural networks that incorporate fractional-order activation functions derived using fractional-order derivatives. Activation functions are essential in neural networks as they introduce nonlinearity, enabling the models t...

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Bibliografische gegevens

Hoofdauteurs:	Bingi, Kishore (Auteur), Bhukya, Ramadevi (Auteur), Kasi, Venkata Ramana (Auteur)
Coauteur:	SpringerLink (Online service)
Formaat:	Elektronisch E-boek
Taal:	Engels
Gepubliceerd in:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Editie:	1st ed. 2025.
Reeks:	Studies in Systems, Decision and Control, 588
Onderwerpen:	Electric power production. Engineering mathematics. Engineering > Data processing. Production engineering. Mechanical Power Engineering. Mathematical and Computational Engineering Applications. Process Engineering.
Online toegang:	https://doi.org/10.1007/978-3-031-88091-9
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