Abstract: Audible noise is one of impact factors for power line electromagnetic environment. Nevertheless, there are the problems for application constraints and unacceptable errors in the traditional prediction models. According to the theoretical of the indirect method, an audible noise prediction model with a structure of three layers for AC transmission lines was established based on BP neural network, in which the input variables are four factors in general expression of audible noise and the output variable is audible noise value. Taking audible noise dates of abroad multiple transmission lines as an example, a train was acquired from the training dataset through BP neural network. Using the trained model, the audible noise values were predicted for the transmission lines in prediction dataset. The results showed that the value of the mean absolute error, which was predicted by the proposed model based on BP neural network, was 1.641 4 dB (A) which is less than that of GE formula