The paper focuses on a development of various modeling techniques to obtain the value stress and deformation for the process of Laser peening on Titanium alloy (Ti6Al4V). The prediction techniques like simulation, artificial neural network (ANN) and fuzzy logic are discussed in this paper. All the three prediction techniques consider overlap of laser spot, power density and pulse duration of laser as input parameters. A design of experiment (DOE) was created according to the Taguchi's experimental design with L18 orthogonal array. Statistical values of the coefficient of determination and absolute percentage error were employed to compare the three developed models by considering initial experiments as well as additional experimental (validation) data. Analysis and results indicate that all three modeling approaches can be equally effectively used for the prediction of compressive stresses with laser peening. However, fuzzy logic model showed the best overall prediction results, while developed ANN model best generalization capability. © 2018 Politechnica University of Bucharest. All rights reserved.