| Yazarlar |
Hülya Atıl
Ege Üniversitesi, Türkiye |
Dr. Öğr. Üyesi Aslı AKILLI
Ahi Evran Üniversitesi, Türkiye |
| Özet |
| Artificial neural network models (ANN's) are machine-learning systems, a type of artificial intelligence. They have been inspired by and developed along the working principles of the human brain and its nerve cells. ANN's are especially used in the modelling of nonlinear systems. With the information learned through repeated experience, similar to human learning, ANN's can provide classification, pattern recognition, optimisation and the realisation of forward-looking forecasts. Artificial neural network studies have been performed in animal husbandry in recent years. They have been used for the prediction of yield characteristics and classification, animal breeding, quality assessment, and disease diagnosis. In this study, classification of dairy cattle using artificial neural networks and cluster analysis are compared. Artificial neural networks models were determined to be more successful than cluster analysis. |
| Anahtar Kelimeler |
| ANN | Artificial neural network | Classification | Dairy cattle |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Uluslararası alan indekslerindeki dergilerde yayımlanan tam makale |
| Dergi Adı | International Journal of Sustainable Agricultural Management and Informatics |
| Dergi ISSN | 2054-5827 |
| Dergi Tarandığı Indeksler | AGRICOLA (National Agricultural Library)CAB Abstracts - Agriculture and International Development IndexesCAB Abstracts - Animal SciencesCAB Abstracts - Environmental Sciences IndexesCAB Abstracts - Human Sciences Abstracts, CAB Abstracts - Plant Sciences AbstractsCAB Abstracts - Global HealthGoogle Scholar |
| Makale Dili | İngilizce |
| Basım Tarihi | 01-2016 |
| Cilt No | 2 |
| Sayı | 1 |
| Sayfalar | 40 / 52 |
| Doi Numarası | 10.1504/IJSAMI.2016.077266 |
| Atıf Sayıları | |
| SCOPUS | 6 |
| Google Scholar | 17 |
