Comparison of non-linear, spline regression and neural networks models to predict the growth curves of broiler chickens fed different levels of rice hull

In the current study, growth parameters of broiler chickens fed with rice hull were estimated and their final body weigh was predicted using non-linear, spline regression and neural networks models. The experimental treatments were control and dietary inclusion of rice hull at the levels of 2.5, 5 and 7.5 percent. Predicted final body weight estimated by non-linear regression models in the current study was higher in control chicks compare with those fed rice hull containing diets (P