The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory-Reference-Cited by-同舟云学术

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The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory

Published:2023-09 Issue: Volume:166 Page:85-104
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Oladyshkin Sergey^ORCID,Praditia Timothy,Kroeker Ilja,Mohammadi Farid,Nowak Wolfgang,Otte Sebastian

Funder

Deutsche Forschungsgemeinschaft

Universität Stuttgart

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference121 articles.

1. Handbook of mathematical functions with formulas, graphs, and mathematical tables;Abramowitz,1965

2. Solving ill-posed inverse problems using iterative deep neural networks;Adler;Inverse Problems,2017

3. Neural networks and deep learning: a textbook;Aggarwal,2018

4. SAMBA: sparse approximation of moment-based arbitrary polynomial chaos;Ahlfeld;Journal of Computational Physics,2016

5. The classical moment problem, Vol. 2;Akhiezer,1965

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