Developed conjugate gradient method in training neural networks to predict verholst model results

The method of conjugate gradient has been suggested to be used in training of Artificial Neural Networks with a technique of feedforward. It has been explained that the suggested method of CG is precise in predicting the numbers of the Iraq population. The numerical results are very near to the exact solution of Verholst Model.