Experimental and prediction study for bearing capacity of inflatable wing have been done and described in this paper.Firstly

model of aerofoil was established

structure of inflatable wing was analyzed and optimized

then method of orthogonal experiment was used to ascertain the main impact of influence bearing capacity and experimental of inflatable wing was finished for bearing capacity.Artificial neural network was finally adopted to predict bearing capacity.The results show that : (1) In the initial experiment

at the same pressure

the relationship between loading and deflection approximately abides by linearity relations.When reached the fixed pressure

the relationship between loading and deflection is also linearity

but the slope abruptly increases.(2)The relative error between the predicted result and the experiment result is 12%

and standard deviation 0.39%

and show that the bearing capacity prediction model of neural net work can predict the bearing capacity of inflatable wing accurately and rapidly.