BP Neural Network for the Risk Management of MICE

MICE, a tourism product¿ has a high marginal profit and a strong benefit linkage, at the same time, its potential risks are coming too. It is essential for enterprises to learn how to identify and keep away from risks; it’s in order to survival and development. This paper will research the system optimization of BP neural network technology used in the MICE risk management system, and we establish a model based on this technology. On the basis of risk factors and the discrimination mode of security alarm, we design an experimental model for MICE risk management. This model can make a scientific decision on the risks for some MICE enterprises. With its help we can advance the level of enterprise risk management, and our management will be turned into the source of real business value.