Karapetkovska-Hristova, Vesna and Ahmad, M. Ayaz and Trajkovska, Biljana and Presilski, Stefce and Bonev, Georgi (2015) Artificial Neural Networking Model an Approach for the Coagulation Properties of Milk. International Journal of Scientific and Engineering Research, 6 (4). pp. 1117-1121. ISSN 2229-5518
Preview |
Text
IJSER, 2015,Vol.6 issue 4.pdf Download (762kB) | Preview |
Abstract
Abstract — The analysis and sequence of some technological parameters and milk coagulation properties (MCP) of Holstein Friesian dairy cows have been studied in the present research article. The milk samples have been collected from a local farm’s at Pelagonia region, Republic of Macedonia and the experimental work was conducted in the laboratories of the Faculty of biotechnical sciences, R. Macedonia and Tabuk University, KSA. The study illustrates the MCP of cow’s milk as well as the effect of milk urea nitrogen level and pH on the coagulum development. The scanning electron microscopy (SEM) of raw milk samples and after rennet addition also has been studied. All the said results/parameters have been compared with the soft computing approach so called artificial neural networking model, and the predictions of soft computing (ANN) model’s outcomes were found in a good agreement with the experimental data.
Index Terms —milk coagulation properties (MCP), milk urea nitrogen (MUN), artificial neural networking (ANN) model.
| Item Type: | Article |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Agricultural Sciences > Animal and diary science |
| Divisions: | Faculty of Biotechnical Sciences |
| Depositing User: | prof. d-r Vesna Karapetkovska - Hristova |
| Date Deposited: | 10 Apr 2020 23:10 |
| Last Modified: | 10 Apr 2020 23:10 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/4943 |
Actions (login required)
 |
View Item |