Evaluation of Material Suppliers Based on BP Neural Network under The Background of Big Data

Nowdays for construction enterprises, there are more material suppliers to choose under the background of big data application in construction industry. Therefore how to evaluate and select the material suppliers correctly and wisely become a particularly important work for manager to control the cost and quality of a project. Firstly, the material supplier evaluation index system is constructed, then the method of obtaining relevant data is put forward. Based on the above, the material supplier evaluation model is constructed by using the BP neural network algorithm. Finally, the applicability and reliability of this model are demonstrated through an example, which provides reference for the evaluation of material suppliers in the practice of building materials procurement.