Explosive cladding is a solid state diffusion bonding process in which the joining of two metals is accomplished by the pressure developed by the detonation of an explosive. Strong metallurgical and mechanical bonding is obtained. Experiments were conducted to clad low carbon steel (Ics) and aluminum (at) plates using nitroglycerine explosive (detonation velocity = 2800 m/s and density =1.3 g/m(3)). Artificial Neural Network (ANN) was employed to estimate the tensile and shear strengths of the explosive clad interfaces in different combinations of parameters viz., the flyer plate thickness (T), the loading ratio (R), the angle of inclination (A) and the stand-off distance (D).