Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems

Considering the improved interpretable performance of Kolmogorov–Arnold Networks (KAN) algorithm compared to multi-layer perceptron (MLP) algorithm, a fundamental research question arises on how modifying the loss function of KAN affects its modelling performance for energy systems, particularly ind...

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Bibliografische gegevens

Hoofdauteurs:	Talha Ansar, Waqar Muhammad Ashraf
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Elsevier 2025-05-01
Reeks:	Energy and AI
Onderwerpen:	KAN MLP Energy systems Thermal power plants Energy sustainability
Online toegang:	http://www.sciencedirect.com/science/article/pii/S2666546825000059
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