Academic Journal

Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates

التفاصيل البيبلوغرافية
العنوان: Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates
المؤلفون: Podunavac-Kuzmanović, Sanja, Jevrić, Lidija, Svarc-Gajić, Jaroslava, Kovacević, Strahinja, Vasiljević, Ivana, Kecojević, Isidora, Ivanović, Evica
المصدر: Acta Chimica Slovenica
بيانات النشر: Slovensko Kemijsko Drustvo, Ljubljana
سنة النشر: 2015
مصطلحات موضوعية: Chocolate, chemometric analysis, artificial neural networks, metal content
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
تدمد: 1318-0207
Relation: Provincial Secretariat for Science and Technological Development of Vojvodina [114-451-3593/2013-04]; info:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172012/RS//; info:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172014/RS//; http://aspace.agrif.bg.ac.rs/handle/123456789/3795; https://hdl.handle.net/21.15107/rcub_agrospace_3795; conv_5484; 000351639400022
الاتاحة: http://aspace.agrif.bg.ac.rs/handle/123456789/3795
https://hdl.handle.net/21.15107/rcub_agrospace_3795
Rights: openAccess ; https://creativecommons.org/licenses/by/4.0/ ; BY
رقم الانضمام: edsbas.5603D78
قاعدة البيانات: BASE