Research on the Management Evaluation Model of Construction Waste Based on the Rough Set Artificial Neural Network

This paper chose the management of construction waste in 30 construction enterprises as samples and built the management evaluation model for construction enterprises´ construction rubbishes based on the rough set(RS) BP neural network ensemble. This model firstly applies to the RS theory and calculates the important index system, then the training sample will be sent to the BP neural network and go through the learning and training process. Afterwards the management level of tested sample will be distinguished. The result shows that compared with the traditional BP model, the RS neural network system has higher forecast accuracy to the tested samples. As a more efficient and practical system, this method provides a new method for the construction enterprises´ waste management evaluation.