The neural network simulation has been designed to simulate and predict the Drag coefficient and Nusselt number of square prism placed inside a wind tunnel . The system was trained on the available data of the two cases. Therefore, we designed the system to work in automatic way for finding the best network that has the ability to have the best test and prediction. The proposed system shows an excellent agreement with that of an experimental data in these cases.