Prediction of Breeding Values for Dairy Cattle Using Artificial Neural Networks and Neuro-Fuzzy Systems
المؤلفون المشاركون
Kalhor, Ahmad
Lucas, Caro
Weigel, Kent A.
Mehrabani-Yeganeh, Hassan
Shahinfar, Saleh
Kazemian, Majid
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-09-09
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Developing machine learning and soft computing techniques has provided many opportunities for researchers to establish new analytical methods in different areas of science.
The objective of this study is to investigate the potential of two types of intelligent learning methods, artificial neural networks and neuro-fuzzy systems, in order to estimate breeding values (EBV) of Iranian dairy cattle.
Initially, the breeding values of lactating Holstein cows for milk and fat yield were estimated using conventional best linear unbiased prediction (BLUP) with an animal model.
Once that was established, a multilayer perceptron was used to build ANN to predict breeding values from the performance data of selection candidates.
Subsequently, fuzzy logic was used to form an NFS, a hybrid intelligent system that was implemented via a local linear model tree algorithm.
For milk yield the correlations between EBV and EBV predicted by the ANN and NFS were 0.92 and 0.93, respectively.
Corresponding correlations for fat yield were 0.93 and 0.93, respectively.
Correlations between multitrait predictions of EBVs for milk and fat yield when predicted simultaneously by ANN were 0.93 and 0.93, respectively, whereas corresponding correlations with reference EBV for multitrait NFS were 0.94 and 0.95, respectively, for milk and fat production.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shahinfar, Saleh& Mehrabani-Yeganeh, Hassan& Lucas, Caro& Kalhor, Ahmad& Kazemian, Majid& Weigel, Kent A.. 2012. Prediction of Breeding Values for Dairy Cattle Using Artificial Neural Networks and Neuro-Fuzzy Systems. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-447766
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shahinfar, Saleh…[et al.]. Prediction of Breeding Values for Dairy Cattle Using Artificial Neural Networks and Neuro-Fuzzy Systems. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-447766
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shahinfar, Saleh& Mehrabani-Yeganeh, Hassan& Lucas, Caro& Kalhor, Ahmad& Kazemian, Majid& Weigel, Kent A.. Prediction of Breeding Values for Dairy Cattle Using Artificial Neural Networks and Neuro-Fuzzy Systems. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-447766
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-447766
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر