A computational model and an experimental work were developed to study the aerodynamic effect of the gap between uncommon towers. The gap between the buildings has a significant effect on the flow characteristics around the buildings. The investigation covers two main interference cases. The first case concerns two similar towers. The second case deals with two different interfering towers. The computations were performed using a suitable steady incompressible turbulence model. The experiments were carried out using an open-circuit suck-down wind tunnel. Scaled-models of the towers were constructed and equipped with measuring facility. The results demonstrate the distributions of the pressure and load coefficients, at various elevations along the height of the tower model. The effect of changing the value of the gap is carefully considered. Moreover, results show different streamline patterns. Validity of using artificial neural networks to predict the values of load coefficient is tested. Results show that a good architecture of neural networks helps greatly in tuning the target predictions.