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

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

Oladyshkin, Sergey; Praditia, Timothy; Kroeker, Ilja; Mohammadi, Farid; Nowak, Wolfgang; Otte, Sebastian.

Afiliação

Oladyshkin S; Department of Stochastic Simulation and Safety Research for Hydrosystems, Institute for Modelling Hydraulic and Environmental Systems, Stuttgart Center for Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart, Germany. Electronic address: sergey.oladyshkin@iws.uni-stuttga
Praditia T; Department of Stochastic Simulation and Safety Research for Hydrosystems, Institute for Modelling Hydraulic and Environmental Systems, Stuttgart Center for Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart, Germany.
Kroeker I; Department of Stochastic Simulation and Safety Research for Hydrosystems, Institute for Modelling Hydraulic and Environmental Systems, Stuttgart Center for Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart, Germany.
Mohammadi F; Department of Hydromechanics and Modelling of Hydrosystems, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart, Pfaffenwaldring 61, 70569 Stuttgart, Germany.
Nowak W; Department of Stochastic Simulation and Safety Research for Hydrosystems, Institute for Modelling Hydraulic and Environmental Systems, Stuttgart Center for Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart, Germany.
Otte S; Neuro-Cognitive Modeling, Computer Science Department, University of Tübingen, Sand 14, 72076 Tübingen, Germany.

Neural Netw ; 166: 85-104, 2023 Sep.

Article em En | MEDLINE | ID: mdl-37480771

Assuntos

Inteligência Artificial; Dinâmica não Linear; Redes Neurais de Computação; Algoritmos; Neurônios

Palavras-chave

Artificial Intelligence; Deep Artificial Neural Network; High-order neural interactions; Machine learning; Orthogonal decomposition; Polynomial chaos expansion

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Dinâmica não Linear Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Dinâmica não Linear Idioma: En Ano de publicação: 2023 Tipo de documento: Article