Work

Design of surrogate models in civil engineering by neural networks

Year: 2024

Type: conference-paper

Source: South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)

DOI: 10.1109/seeda-cecnsm63478.2024.00017

Authors: Vojtěch Drahý, Radek Mařík, Heikki Kälviäinen

Institutions: Czech Technical University in Prague, Lappeenranta-Lahti University of Technology

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4403919019

FWCI:

Cites: 24

Cited by:

Related to: 10