Comparative Analysis of Prior Knowledge-Based Machine Learning Metamodels for Modeling Hybrid Copper–Graphene On-Chip Interconnects

Autor:	Suyash Kushwaha, Nastaran Soleimani, Felipe Treviso, Rahul Kumar, Riccardo Trinchero, Flavio G. Canavero, Sourajeet Roy, Rohit Sharma
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	least-square support vector machine (LS-SVM) Artificial neural networks (ANNs) copper–graphene interconnects per-unit-length (p.u.l.) parameters support vector machine (SVM) transient simulation Electrical and Electronic Engineering Condensed Matter Physics Atomic and Molecular Physics and Optics
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2215fc911ab7841464f053158255b85 https://hdl.handle.net/11583/2973545 Zobrazit plný text záznamu