TY  - JOUR
AU  - Podunavac-Kuzmanović, Sanja
AU  - Jevrić, Lidija
AU  - Svarc-Gajić, Jaroslava
AU  - Kovacević, Strahinja
AU  - Vasiljević, Ivana
AU  - Kecojević, Isidora
AU  - Ivanović, Evica
PY  - 2015
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3795
AB  - The relationships between the contents of various metals (Cu, Ni, Pb and Al) in different types of chocolates were studied using chemometric approach. Chemometric analysis was based on the application of artificial neural networks (ANN). ANN was performed in order to select the significant models for predicting the metal contents. ANN equations that represent the content of one metal as a function of the contents of other metals were established. The statistical quality of the generated mathematical models was determined by standard statistical measures and cross-validation parameters. High agreement between experimental and predicted values, obtained in the validation procedure, indicated the good quality of the models. The obtained results indicate the possibility of predicting the metal contents in different types of chocolate and define the strong non-linear relationship between metal contents.
PB  - Slovensko Kemijsko Drustvo, Ljubljana
T2  - Acta Chimica Slovenica
T1  - Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates
EP  - 195
IS  - 1
SP  - 190
VL  - 62
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_3795
ER  - 

@article{
author = "Podunavac-Kuzmanović, Sanja and Jevrić, Lidija and Svarc-Gajić, Jaroslava and Kovacević, Strahinja and Vasiljević, Ivana and Kecojević, Isidora and Ivanović, Evica",
year = "2015",
abstract = "The relationships between the contents of various metals (Cu, Ni, Pb and Al) in different types of chocolates were studied using chemometric approach. Chemometric analysis was based on the application of artificial neural networks (ANN). ANN was performed in order to select the significant models for predicting the metal contents. ANN equations that represent the content of one metal as a function of the contents of other metals were established. The statistical quality of the generated mathematical models was determined by standard statistical measures and cross-validation parameters. High agreement between experimental and predicted values, obtained in the validation procedure, indicated the good quality of the models. The obtained results indicate the possibility of predicting the metal contents in different types of chocolate and define the strong non-linear relationship between metal contents.",
publisher = "Slovensko Kemijsko Drustvo, Ljubljana",
journal = "Acta Chimica Slovenica",
title = "Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates",
pages = "195-190",
number = "1",
volume = "62",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_3795"
}

Podunavac-Kuzmanović, S., Jevrić, L., Svarc-Gajić, J., Kovacević, S., Vasiljević, I., Kecojević, I.,& Ivanović, E.. (2015). Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates. in Acta Chimica Slovenica
Slovensko Kemijsko Drustvo, Ljubljana., 62(1), 190-195.
https://hdl.handle.net/21.15107/rcub_agrospace_3795

Podunavac-Kuzmanović S, Jevrić L, Svarc-Gajić J, Kovacević S, Vasiljević I, Kecojević I, Ivanović E. Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates. in Acta Chimica Slovenica. 2015;62(1):190-195.
https://hdl.handle.net/21.15107/rcub_agrospace_3795 .

Podunavac-Kuzmanović, Sanja, Jevrić, Lidija, Svarc-Gajić, Jaroslava, Kovacević, Strahinja, Vasiljević, Ivana, Kecojević, Isidora, Ivanović, Evica, "Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates" in Acta Chimica Slovenica, 62, no. 1 (2015):190-195,
https://hdl.handle.net/21.15107/rcub_agrospace_3795 .