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Accurate knowledge of the diversity and distribution of the FeO and TiO2 abundances (FTAs) on the lunar surface is of essential importance to investigate the origin and geologic evolution of the Moon.In this paper, with the data from microwave sounder (CELMS) onboard China's Chang'E lunar orbiter, FTAs are inversed with BPNN (Back Propagation Neural Network, BPNN) method.