Estimation and comparison of growth curve in broilers through the artificial neural networks and gompertz models
Yazarlar (1)
Dr. Öğr. Üyesi Emine BERBEROĞLU Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale)
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| Dergi Adı | Journal of Agricultural Faculty of Gaziosmanpaşa University | ||
| Dergi Tarandığı Indeksler | |||
| Makale Dili | İngilizce | Basım Tarihi | 08-2020 |
| Cilt / Sayı / Sayfa | 37 / 2 / 68–76 | DOI | – |
| Makale Linki | https://dergipark.org.tr/en/pub/gopzfd/article/1032846 | ||
| UAK Araştırma Alanları |
Eğitim Bilimleri
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| Özet |
| Mathematical models offer great convenience in estimating the variation in the growth of the living. The time-dependent change in weight and body sizes of the organism can be estimated easily via mathematical models. In this study, the growth curves of Ross 308 broilers compared through the Gompertz model, which explains growth best and the ANN model, which is assumed to be an alternative to this model. The model with high-estimated R² and low-estimated MSE, MAD, and MAPE values considered as the best model. The criteria obtained from the ANN and Gompertz models are 5625 and 2950 for MSE; 0.27, and 0.17 for MAPE; 0.5 and 1.2 for MAD, respectively while R² values were observed as 0.99 in both models. MSE and MAPE values were observed lower compared to the Gompertz model. |
| Anahtar Kelimeler |
