Abstract: In response to mobile operators’ demand of channel strategic transformation, back propagation (BP) neural network is applied to the research on agential channel risk pre-warning of mobile operator. First, an agential channel risk evaluation index system is established. Second, an agential channel risk pre-warning model is set up based on BP neural network. Following that, the model is trained and tested. The results show that the model can be used to judge agential channel risk grade and analyze risk composition.

Key words: marketingchannel, mobileoperators, backpropagationneuralnetwork, riskpre-warning