Intelligent system for assessing the quality of ore

The paper proposes an integrated approach to the selection of technological solutions for ore preparation, which allows combining intellectual and quantitative methods to justify decisions on the management of mining and mineral processing. The intelligent system includes a database for making optimal decisions, models based on neural networks and classical mathematical methods, technical means, technological operations and organizational techniques that allow for ore quality management measures. A new approach to the classification of fragments of ore fractions is proposed, based on a neural network that has the functionality of finding ore mineral grains in an image with a subsequent assessment of the degree of its disclosure, which made it possible to increase the efficiency of image recognition of ore sections by at least 5% compared to the analytical method of ore analysis.