Prediction of Phosphate Concentrate Grade Based on Artificial Neural Network Modeling

Publication date: Available online 13 October 2018Source: Results in PhysicsAuthor(s): Yi Zhang, Hong Chen, Bingqiao Yang, Shupei Fu, Jie Yu, Ziyue WangAbstractIn order to determine the grade of phosphate concentrate rapidly and accurately on-line, first, the surface color parameters of primary ore, concentrated and tailing of phosphate rock was collected and extracted based on a self-designing surface color acquisition device. Then these parameters were modeled by artificial neural network. The results showed that the 5-12-1 BP model established by artificial neural network could achieve better prediction results with error less than 5%, which provided theoretical support for realizing the on-line soft measurement of flotation concentrate grade.
Source: Results in Physics - Category: Physics Source Type: research