Project Investment Risk Evaluation based on BP Neural Network System

Risk project investment has the characteristics of high-risk and high-return,and effective and right evaluation method is vital.The traditional evaluation method has stortcomings of arbitrary, but a neural network model can get over the failure of dependency much on the experts' experience,so it opens up a new way of project investment risk evaluation. This paper analyzes the principle of BP neural network system firstly, then it discusses UP neural network model that can be applied to project investment risk evaluation combined with example, and a simulation experiment demonstrates the application of UP neural network model can bring out a satisfactory result.