TY - JOUR
TI - The concept of the variance estimation for the neural network approximator by jackknife subsampling
AU - Pietraszek, Jacek
AU - Gądek-Moszczak, Aneta
TI - The concept of the variance estimation for the neural network approximator by jackknife subsampling
AB - 
	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.
VL - 2013
IS - Mechanika Zeszyt 1-M (5) 2013
PY - 2014
SN - 0011-4561
C1 - 2353-737X
SP - 309
EP - 316
DO - 10.4467/2353737XCT.14.039.1965
UR - https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/the-concept-of-the-variance-estimation-for-the-neural-network-approximator-by-jackknife-subsampling
KW - jackknife variance estimation
KW - statistical methods
KW - image analysis
KW - error estimate
KW - metal powder sintering