Data-driven inverse modelling through neural network (deep learning) and computational heat transfer-Reference-Cited by-同舟云学术

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Data-driven inverse modelling through neural network (deep learning) and computational heat transfer

Published:2020-09 Issue: Volume:369 Page:113217
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Tamaddon-Jahromi Hamid Reza,Chakshu Neeraj Kavan^ORCID,Sazonov Igor,Evans Llion M.^ORCID,Thomas Hywel,Nithiarasu Perumal^ORCID

Funder

EPSRC

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference34 articles.

1. Inverse Heat Transfer;Ozisik,2000

2. Numerical Methods for the Solution of Ill-Posed Problems;Tikhonov,1995

3. Regularization of Inverse Problems;Engl,2000

4. Heuristic reasoning;Ippoliti,2015

5. Heuristics: Intelligent Search Strategies for Computer Problem Solving;Pearl,1984

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