Modeling output energy in the dairy and beef cattle farms using the methods of Artificial Neural Network and ANFIS (Case Study: Mazandaran Province, Iran)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Loghmanpour zarini R.; GHAVI HOSSEIN ZADEH N.; Nabipour Afrouzi H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Animal Production Research Year:2019 | Volume:8 | Issue:1 Page(s): 17-28

Download Full-Text

Persian Verion

View:

345

Download:

Cites:

Information Journal Paper

Title

Modeling output energy in the dairy and beef cattle farms using the methods of Artificial Neural Network and ANFIS (Case Study: Mazandaran Province, Iran)

Author(s)

Loghmanpour zarini R. | GHAVI HOSSEIN ZADEH N. | Nabipour Afrouzi H. | Issue Writer Certificate

Keywords

EnergyQ2

Adaptive fuzzy neural networkQ1

Artificial neural networkQ2

Dairy cattleQ2

ModelingQ1

Abstract

In this research, the Artificial neural networks (ANNs) and multi-layered non-fuzzy inductive inference system (ANFIS) were used to model the output Energy in dairy and beef cattle farms. For this purpose, according to Cochran's relation, 105 beef and dairy farms were randomly selected from five townships which were the main producers of this sector in Mazandaran province from 2016-2017. Using the Energy balance of inputs and outputs, the input and output Energy averages in beef production farms were calculated to be 16994. 76 and 3449. 85 MJcow-1 and for dairy production farms were equal to 100100 and 58277 MJcow-1, respectively. Also, ER (Energy Ratio), EP (Energy Productivity), SE (Special Energy) and NE (Net Energy) indices for dairy production farms were 0. 58, 0. 08 KgMJ-1, 12. 5 MJKg-1 and-41825. 93 MJcow-1, respectively and for beef production farms were calculated as 0. 2, 0. 02 KgMJ-1, 50 MJKg-1and 13544. 91 MJcow-1, respectively. Using the results of statistical analysis of the data, Modeling of the output Energy for each unit of input Energy was performed by two above methods (ANNs and ANFIS). The results showed that the model of nervous-fuzzy inference comparative multi-layered system with the correlation coefficient of 0. 9899 for steer farms and 0. 9933 for dairy farms, had better performance and accuracy than that of the Artificial neural network with the correlation coefficient of 0. 8118 and the structure of 6-16-1 for beef farms and correlation coefficient of 0. 9837 and the structure of 5-12-1 for dairy farms.

Cites

No record.

References

No record.

Cite

APA: Copy

Loghmanpour zarini, R., GHAVI HOSSEIN ZADEH, N., & Nabipour Afrouzi, H.. (2019). Modeling output energy in the dairy and beef cattle farms using the methods of Artificial Neural Network and ANFIS (Case Study: Mazandaran Province, Iran). ANIMAL PRODUCTION RESEARCH, 8(1 ), 17-28. SID. https://sid.ir/paper/368084/en

Vancouver: Copy

Loghmanpour zarini R., GHAVI HOSSEIN ZADEH N., Nabipour Afrouzi H.. Modeling output energy in the dairy and beef cattle farms using the methods of Artificial Neural Network and ANFIS (Case Study: Mazandaran Province, Iran). ANIMAL PRODUCTION RESEARCH[Internet]. 2019;8(1 ):17-28. Available from: https://sid.ir/paper/368084/en

IEEE: Copy

R. Loghmanpour zarini, N. GHAVI HOSSEIN ZADEH, and H. Nabipour Afrouzi, “Modeling output energy in the dairy and beef cattle farms using the methods of Artificial Neural Network and ANFIS (Case Study: Mazandaran Province, Iran),” ANIMAL PRODUCTION RESEARCH, vol. 8, no. 1 , pp. 17–28, 2019, [Online]. Available: https://sid.ir/paper/368084/en

Related Journal Papers