Prediction of second parity milk performance of dairy cows from first parity information using artificial neural network and multiple linear regression methods
A mathematical model for prediction of second parity milk yield and fat percentage, with the
use of first parity information seems to be helpful in order to predict the performance of
prospective productive cows. As a tool for this prediction, back propagation neural network
and multiple linear regression methods were compared based on their prediction
differences with observed values. While, multiple linear regressions are based on linear
relationships between variables, artificial neural network system also considers non-linear …
use of first parity information seems to be helpful in order to predict the performance of
prospective productive cows. As a tool for this prediction, back propagation neural network
and multiple linear regression methods were compared based on their prediction
differences with observed values. While, multiple linear regressions are based on linear
relationships between variables, artificial neural network system also considers non-linear …
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