Abstract: Based on the traditional mathematical methods, the analysis solutions for micro-scale mechanics problems are not usually solved properly for the building of a mechanical model, the solving of comprehensive constitutive equations and multi-scale computing need to be dealt with. In the present paper, computing intelligence, which includes artificial neural network, genetic algorithm, fuzzy mathematics and others, is used to study the mechanical behaviors of micro-scale materials. First, the mechanical model built with artificial neural network, which describes the variety of hardness to the indentation depth, is used to predict the nanoindentation hardness of MgO. Second, the load-depth curves of A533-B steel of indentation with spherical indenter are inversely analyzed by using genetic algorithm.