深度学习与大数据的矿物智能分选技术研究

Research on Mineral Intelligent Sorting Technology Based on Deep Learning and Big Data

研究旨在探索深度学习与大数据在矿物智能分选技术中的应用方式,评估不同数据集上的分类性能,并提出改善方案,以实现矿物分选过程的准确性和效率的最优化。

The research aims to explore the application of deep learning and big data in mineral intelligent sorting technology,evaluate the classification performance on different datasets,and propose improvement solutions to achieve the optimization of accuracy and efficiency in the mineral sorting process.