Symbolic Regression Based on Kolmogorov–Arnold Networks for Gray-Box Simulation Program with Integrated Circuit Emphasis Model of Generic Transistors

In this paper, a novel approach to symbolic regression using Kolmogorov–Arnold Networks (KAN) for developing gray-box Simulation Program with Integrated Circuit Emphasis models of generic transistors is proposed. Unlike traditional black-box models, such as artificial neural networks, (ANN), the dev...

Celý popis

Podrobná bibliografie

Vydáno v:	Electronics (Basel) Ročník 14; číslo 6; s. 1161
Hlavní autoři:	Huang, Yiming, Li, Bin, Wu, Zhaohui, Liu, Wenchao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 16.03.2025
Témata:	Accuracy Artificial neural networks Current voltage characteristics Datasets Design optimization Efficiency Formulas (mathematics) Integrated circuits Modelling Neural networks Product development Semiconductor chips Simulation Simulation methods Transistors
ISSN:	2079-9292, 2079-9292
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!