Zobrazeno 1 - 10
of 29
pro vyhledávání: '"CEM TIRINK"'
Publikováno v:
Czech Journal of Animal Science, Vol 67, Iss 11, Pp 454-464 (2022)
The aim of this study was to determine the best non-linear function describing the growth of the Linda goose breed. To achieve this aim, five non-linear functions, such as exponential, logistic, von Bertalanffy, Brody and Gompertz, were employed to d
Externí odkaz:
https://doaj.org/article/8a24e971ec624ffab4b86bbbdd2ea511
Autor:
Cem TIRINK
Publikováno v:
Kafkas Universitesi Veteriner Fakültesi Dergisi, Vol 28, Iss 3, Pp 411-419 (2022)
In this study, it is aimed to compare several data mining and artificial neural network algorithms to predict body weight from biometric measurements for the Th alli sheep breed. For this purpose, the prediction capabilities of Bayesian Regularized N
Externí odkaz:
https://doaj.org/article/66e545cdc2db4bb3b488565f5067c472
Publikováno v:
Kafkas Universitesi Veteriner Fakültesi Dergisi, Vol 25, Iss 1, Pp 105-110 (2018)
The aim of this study was to determine the effect of some factors (sex, birth type, farm type, birth weight and weighting time) on weaning weight through CART and CHAID data mining algorithms. The classification and regression trees are modern analyt
Externí odkaz:
https://doaj.org/article/cc29102f114c4b65947b13bc85c532c3
Publikováno v:
Animals
Volume 13
Issue 5
Pages: 798
Volume 13
Issue 5
Pages: 798
The study’s main goal was to compare several data mining and machine learning algorithms to estimate body weight based on body measurements at a different share of Polish Merino in the genotype of crossbreds (share of Suffolk and Polish Merino geno
Publikováno v:
Tropical Animal Health and Production. 55
Autor:
Hasan ONDER, Cem TIRINK
Publikováno v:
Volume: 12, Issue: 3 1849-1856
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Journal of the Institute of Science and Technology
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Journal of the Institute of Science and Technology
The animal breeding studies rapidly increased over the last century. When the genomic selection tool introduced, scientists and animal breeders have a new area to work with increasing computer power and genomic tolls. In this study, it was aimed to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::160c9ffa0e2dd3eca2a8d7a8837ba1a3
https://dergipark.org.tr/tr/pub/jist/issue/72255/1133397
https://dergipark.org.tr/tr/pub/jist/issue/72255/1133397
Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 12, Iss 8, Pp 1408-1416 (2024)
The aim of this study was to define the growth by using nonlinear functions in intensive feedlot system with XGBoost algorithm. To achieve this aim, five nonlinear functions were implemented. To implementation of the study, Brown Swiss (n=41) and Sim
Externí odkaz:
https://doaj.org/article/938423187e364f19a262742bf6372744
Publikováno v:
Volume: 5, Issue: 3 311-313
Black Sea Journal of Agriculture
Black Sea Journal of Agriculture
Animal production is valuable importance for the human being and countries in terms of both economic and human nutrition. To increase the value of benefits from the livestock sector, there are many attempt to make policies. In this study, 26 differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::996e4db53feeb2a08f4f8382ef221479
https://dergipark.org.tr/tr/pub/bsagriculture/issue/71109/1116612
https://dergipark.org.tr/tr/pub/bsagriculture/issue/71109/1116612
Publikováno v:
Volume: 10, Issue: 2 1429-1437
Journal of the Institute of Science and Technology
Journal of the Institute of Science and Technology
Least square (LS) method is a common method used to estimate the coefficients in multiple regression models. The least square multiple regression models produce biased regression coefficients when the multicollinearity is encountered in the studied d
Autor:
Asim Faraz, Bernard Faye, Cem Tirink, Ayman Balla Mustafa, Amal AlKharusi, Morteza Bitaraf Sani, Nasir Ali Tauqir, Muhammad Arslan Akbar, Muhammad Usman Saleem, Rana Muhammad Bilal, Abdul Waheed, Muhammad Shahid Nabeel
Publikováno v:
Punjab University Journal of Zoology
A distinctive biological model, the camel, is auspicious livestock in drastic weather conditions. The location of Pakistan is at the hotspot regions where the disasters of environmental changes hit severely. The future hope for food security is a cam