| Yazarlar (2) |
Prof. Dr. Özkan GÖRGÜLÜ
Kırşehir Ahi Evran Üniversitesi, Türkiye |
Dr. Öğr. Üyesi Aslı AKILLI
Kırşehir Ahi Evran Üniversitesi, Türkiye |
| Özet |
| Mathematical models are been used to evaluate the economic characteristics of farm animals. One of these characteristics; biological interpretation of live weight prediction, provides significant benefits to the producers and researchers in the field such as the meat production efficiency, the evaluation of the genetic structure and growth potential of animals, the understanding of the genetic and environmental factors affecting the growth of live weight and growth, and the taking of management and marketing decisions in the institutional sense in enterprises. In this study, used method provides prediction interval for sheep live weight values. One of the main features that distinguish fuzzy regression analysis from classical regression analysis is the inter-variable relation; which are uncertain and inputs and outputs can be included in the model as fuzzy numbers. The method discussed in the study predicts an interval for live weight values of sheep. Thus, it is aimed to present a new method of presenting a new viewpoint to the problems of regression analysis and realizing successful estimates with lower error rates. The analysis results were evaluated with error squared averages and average absolute error criteria. In this framework, fuzzy regression analysis based on artificial neural networks has been found to be quite successful and may be an alternative to classical methods. The results of the analysis show that the method is quite successful and can be used as an alternative to classical regression analysis. |
| Anahtar Kelimeler |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Özet Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum |
| Bildiri Dili | İngilizce |
| Kongre Adı | 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC-2017) |
| Kongre Tarihi | 24-05-2017 / 26-05-2017 |
| Basıldığı Ülke | Türkiye |
| Basıldığı Şehir |
