DaPC NN: Deep Arbitrary Polynomial Chaos Neural Network
인용 양식
Sergey Oladyshkin (2024). DaPC NN: Deep Arbitrary Polynomial Chaos Neural Network (https://www.mathworks.com/matlabcentral/fileexchange/112110-dapc-nn-deep-arbitrary-polynomial-chaos-neural-network), MATLAB Central File Exchange. 검색됨 .
Oladyshkin, S., and W. Nowak. “Data-Driven Uncertainty Quantification Using the Arbitrary Polynomial Chaos Expansion.” Reliability Engineering &Amp\Mathsemicolon System Safety, vol. 106, Elsevier BV, Oct. 2012, pp. 179–90, doi:10.1016/j.ress.2012.05.002.
Oladyshkin, Sergey, and Wolfgang Nowak. “Incomplete Statistical Information Limits the Utility of High-Order Polynomial Chaos Expansions.” Reliability Engineering &Amp\Mathsemicolon System Safety, vol. 169, Elsevier BV, Jan. 2018, pp. 137–48, doi:10.1016/j.ress.2017.08.010.
Oladyshkin S., Praditia T., Kroeker I., Mohammadi F., Nowak W., Otte S., The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory. Neural Networks. Elsevier, 2023. DOI: 10.1016/j.neunet.2023.06.036.
MATLAB 릴리스 호환 정보
플랫폼 호환성
Windows macOS Linux태그
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!DaPC NN Matlab Toolbox
버전 | 게시됨 | 릴리스 정보 | |
---|---|---|---|
0.0.4 | Multivariate Polynomial Degrees |
|
|
0.0.3 | Alpha Version 0.0.3 |
|
|
0.0.2 | Alpha Version 0.0.2 |
|
|
0.0.1 |