The Application of Artificial Neural Networks in Risk Assessment on High-Tech Project Investment

Investment risks assessment of high-tech projects is a more complex process, involving various factors and it is not entirely the linear relationship between influencing factors and measurement results. Artificial neural network (ANN) has a strong nonlinear mapping ability, with strong learning ability and high classification and prediction accuracy. The paper applied ANN to establish a new risk assessment model of high-tech project investment and used MATLAB software to carry out example simulations respectively with BP neural network model and RBF neural network model. The results showed that it is effective to apply ANN to assess the high-tech project investment risk and RBF network is more suitable than BP network.