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The concept of the variance estimation for the neural network approximator by jackknife subsampling

Data publikacji: 28.03.2014

Czasopismo Techniczne, 2013, Mechanika Zeszyt 1-M (5) 2013 , s. 309 - 316

https://doi.org/10.4467/2353737XCT.14.039.1965

Autorzy

,
Jacek Pietraszek
Institute of Applied Informatics, Faculty of Mechanical Engineering, Cracow University of Technology
https://orcid.org/0000-0003-2851-1606 Orcid
Wszystkie publikacje autora →
Aneta Gądek-Moszczak
Institute of Applied Informatics, Faculty of Mechanical Engineering, Cracow University of Technology
Wszystkie publikacje autora →

Tytuły

The concept of the variance estimation for the neural network approximator by jackknife subsampling

Abstrakt

The estimation of a variance for a semi-parametric neural network model variance for geometric properties of sintered metal will be done on the basis of jackknife subsampling method. Calculation results are of great practical significance because it will be possible to use proposed approach in similar microscale modelling. The proposed approach is simple and has many advantages if model identification procedure is computational expensive.

Bibliografia

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Informacje

Informacje: Czasopismo Techniczne, 2013, Mechanika Zeszyt 1-M (5) 2013 , s. 309 - 316

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

The concept of the variance estimation for the neural network approximator by jackknife subsampling

Angielski:

The concept of the variance estimation for the neural network approximator by jackknife subsampling

Autorzy

https://orcid.org/0000-0003-2851-1606

Jacek Pietraszek
Institute of Applied Informatics, Faculty of Mechanical Engineering, Cracow University of Technology
https://orcid.org/0000-0003-2851-1606 Orcid
Wszystkie publikacje autora →

Institute of Applied Informatics, Faculty of Mechanical Engineering, Cracow University of Technology

Institute of Applied Informatics, Faculty of Mechanical Engineering, Cracow University of Technology

Publikacja: 28.03.2014

Status artykułu: Otwarte __T_UNLOCK

Licencja: Żadna

Udział procentowy autorów:

Jacek Pietraszek (Autor) - 50%
Aneta Gądek-Moszczak (Autor) - 50%

Korekty artykułu:

-

Języki publikacji:

Angielski