Multi-investment Risk Evaluation Model Based on Artificial Neural Network
Zha Ke-Ling · International Conference on Digital Manufacturing & Automation · 2015
This paper studies the definition of risk and simply analyzes multi-investment risk management in detail. Aimed to establish a risk evaluation system of software project, an artificial neural network-based investing risk evaluation model of software project is proposed. In addition, it analyzes learning process of BP neural network. Finally, with the established neural network model to perform risk evaluation on case project, its comprehensive risk is obtained. Meanwhile, according to risk evaluation index system, various risk factors are adopted for the analysis evaluation.