In addition to evaluated the ANN experimental results of 12 various mixtures were carried out as per ASTM standards to effect on strength of cement to evaluate the compressive strength of mortar cubes at 28 days, with the application of different compounds mortar mixes with cement/sand ratio 2:3 and varying water/binder ratio between 0.3 to 0.6, using field sand, ASTM graded sand and two type of compressive strength of OPC (ordinary portland cement). The training and testing results of ANN in the multilayer feed-forward neural and comparison by experimental result shown that neural networks systems has strong potential for predicting compressive strength of mortars if the ferrocement component of input have same materials properties.