Research on Safety Forecast for Construction Project Based on Rough Sets and Artificial Nerve Network with Particle Swarm Optimization

The present research status of safety management on construction project is reviewed, and the index system of construction project safety management is established. Risks in project construction are forecasted by using ANN (artificial neural network). Aiming at the shortages of ANN with complex structure, slow convergence and the liability to local optimal value when there is much data to deal with by ANN, Rough Sets (RS) are introduced to simplify the unascertained factors affecting the safety objective of construction project. Thus, the dimension of ANN is greatly simplified. At the same time, by introducing the Particle Swarm Optimization (PSO) with the advantages of fast convergence and global optimum, safety forecast system for construction project is set up based on RS and ANN with PSO. This system is illustrated very scientific and effective.