Evaluation of normalization techniques on neural networks for the prediction of 305-day milk yield
In this study, the impact of data preprocessing on the prediction of 305-day milk yield using
neural networks were investigated with regard to the effect of different normalization …
neural networks were investigated with regard to the effect of different normalization …
[PDF][PDF] Çoklu doğrusal regresyon ve yapay sinir ağı modellerinin laktasyon süt verimlerine uyum yeteneklerinin karşılaştırılması
Özet Bu çalışmada Siyah Alaca ineklerin laktasyon süt verimleri üzerine laktasyon süresi
(LS), buzağılama yılı (BY) ve servis periyodunun (SP) etkisi çoklu regresyon ve yapay sinir …
(LS), buzağılama yılı (BY) ve servis periyodunun (SP) etkisi çoklu regresyon ve yapay sinir …
Comparative efficiency of artificial neural networks and multiple linear regression analysis for prediction of first lactation 305-day milk yield in Sahiwal cattle
An investigation was carried out on 12,854 fortnightly test day milk yields records of first
lactation pertaining to 643 Sahiwal cows sired by 51 bulls spread over 49 years located at …
lactation pertaining to 643 Sahiwal cows sired by 51 bulls spread over 49 years located at …
Applications of artificial neural networks for enhanced livestock productivity: A review
Artificial neural network models are machine-learning systems, a type of artificial
intelligence. They have been inspired by and developed along the working principles of the …
intelligence. They have been inspired by and developed along the working principles of the …
Recognition of culling reasons in Polish dairy cows using data mining methods
K Adamczyk, D Zaborski, W Grzesiak… - … and electronics in …, 2016 - Elsevier
Cow longevity and reasons for culling are one of the most important research problems in
the contemporary cattle breeding. Therefore, the analysis of the relationship between cow …
the contemporary cattle breeding. Therefore, the analysis of the relationship between cow …
Prediction of egg production using artificial neural network
S Ghazanfari, K Nobari, M Tahmoorespur - 2011 - sid.ir
Abstract ARTIFICIAL NEURAL NETWORKS (ANN) have shown to be a powerful tool for
system modeling in a wide range of applications. The focus of this study is on neural network …
system modeling in a wide range of applications. The focus of this study is on neural network …
Comparison of multiple linear regression and artificial neural network models goodness of fit to lactation milk yields.
In this study, effects of lactation length, calving year and service period on lactation milk yield
of Holstein Friesians were modeled with multiple regression and artificial neural networks …
of Holstein Friesians were modeled with multiple regression and artificial neural networks …
[PDF][PDF] Comparative study of ANN and conventional methods in forecasting first lactation milk yield in Murrah buffalo
V Kumar, AK Chakravarty, A Magotra… - Indian Journal of …, 2019 - epubs.icar.org.in
Present investigation was undertaken to predict first lactation 305-day milk yield
(FL305DMY) using monthly test day milk records. Under this study, multiple linear …
(FL305DMY) using monthly test day milk records. Under this study, multiple linear …
[PDF][PDF] Predictions of 305-day milk yield in Iranian Dairy cattle using test-day records by artificial neural network
M Tahmoorespur, P Hosseinnia… - Indian Journal of …, 2012 - epubs.icar.org.in
Artificial neural network was used as non-linear models to predict 305-day milk production
using test-day records. Test-day records (32475) belong to five recording period, of the first …
using test-day records. Test-day records (32475) belong to five recording period, of the first …
Investigation of capacity behaviors by linear and nonlinear models chemometrics
H Noorizadeh, A Farmany - Trends in Applied Sciences …, 2011 - search.proquest.com
Abstract Genetic Algorithm and Multiple Linear Regression (GA-MLR) and Levenberg-
Marquardt Artificial Neural Network (LM ANN) techniques were used to investigate the …
Marquardt Artificial Neural Network (LM ANN) techniques were used to investigate the …