A general framework of high-performance machine learning algorithms: application in structural mechanics
DOI10.1007/s00466-023-02386-9zbMath1545.74089MaRDI QIDQ6540749
George A. Markou, Savvas A. Chatzichristofis, Nikolaos P. Bakas, Manolis Papadrakakis
Publication date: 17 May 2024
Published in: Computational Mechanics (Search for Journal in Brave)
finite element methodsoil-structure interactionslender beamparallel trainingdeep learning artificial neural networkreinforced concrete building model
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Rods (beams, columns, shafts, arches, rings, etc.) (74K10) Finite element methods applied to problems in solid mechanics (74S05) Composite and mixture properties (74E30) Soil and rock mechanics (74L10) Numerical and other methods in solid mechanics (74S99)
This page was built for publication: A general framework of high-performance machine learning algorithms: application in structural mechanics