Abstract: Near-alpha TA15 titanium alloy has good mechanical properties which has a wide application in airframe.Sy stemic TIG (tungsten inert-gas)welding experiments were performed for TA15 titanium alloy and the tensile tests of their welded joints were also carried out.Main factors were then selected after relating the parameters to tensile properties based on the principle of artificial neural network (ANN).Finally, the input and output parameters were confirmed and the ANN prediction models for tensile properties of titanium alloys TA15 TIG welded joints were established.Those models were then optimized and the model errors were analyzed.It showed that the prediction models, better than the traditional regression method, could be well used to predict tensile properties of titanium alloys TA15 TIG welded joints.