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

摘要：

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.

关键词： high-tech projects investment risk assessment BP neural network RBF neural network

作者: Hua Jiang

作者单位: School of Economics and Management Hebei University of Engineering Handan, China

会议类型: 国际会议

会议名称: The Second International Conference on Business Intelligence and Financial Engineering(BIFE 2009)(第二届商务智能与金融工程国际会议)

会议地点: 北京

会议语种:英文

页码: 17-20

在线出版日期: 2009-07-24（万方平台首次上网日期，不代表论文的发表时间）