Research on Engineering Project Risk Evaluation System Based on Neural Network

摘要

As the extensibility and complexity of engineering projects in space, the risks of engineering projects are increasing. The increase of risk will cause various deviations, or even failures for engineering projects during operation. In this paper, a dynamic self-study and self-organized engineering project risk evaluation system is established by applying neural network technology. This system breaks through traditional project risk appraisement pattern and solves problem that traditional model is difficult to dispose highly nonlinear model with high effectively. This paper establishes foundation for the practice of project risk evaluation and sets forward a method to solve this kind of nonlinear structural optimization problem of project risk evaluation. At the same time, it can foresee and control project risk in time so that to guarantee project running continuously and successfully.