Abstract: The present application discloses a product quality prediction method based on a dual-channel information complementary fusion stacked auto-encoder. According to the present method, the design of a stacked auto-encoder is firstly adopted, and the input data information is received and trained to obtain the information of a hidden layer of the stacked auto-encoder. Then, outside the stacked auto-encoder, a structure of an information complementary fusion module and a down-to-top and top-to-down dual-channel information fusion layer is designed, which can use the information of the hidden layer inside the stacked auto-encoder and transmit the information in two directions. Furthermore, the output value and output information of the module are calculated through a gating module and is subjected to weighted fusion to obtain a final product quality prediction result.