Artificial Intelligence In Mineral Processing: Transforming Mining Operations Through Smart Technology

Abstract

Back in the early 1980s, computer technology was actually in an incomparable state compared to today. At that time, could the human brain be replicated? Could a robot be created that could behave like a human? Can computers think? Can they learn things? Answers to questions like these have not yet been found. In fact, such questions have been asked continuously for years. They have continued to be asked, and as a result, some of these questions have been partially answered today. Numerous artificial neural network models have been developed, and countless applications have emerged. Developments show that these systems will enter more and more people's lives in the future. These studies have actually emerged as a result of curiosity about how the human brain works and how it learns. How the human brain works is not yet known today? However, studies have shown that computers can learn and produce successful results. These systems are used effectively, especially in events that require the evaluation of a large amount of information. Applications are seen in many fields, from industrial life to financial life, from medical science to military systems. The successes obtained in these applications both increase the importance of artificial neural networks and increase interest in these systems. In the mining industry, there is a need for improved quality control systems in the production of minerals. In addition, the desire to recover minerals of low economic value in a cost-effective way requires a higher level of control and automation. As a result of these demands, the success and necessity of instant messaging mineral classification and the use of this information have led to the use of artificial neural networks in the mining industry. Since the 1990s, the use of artificial neural networks has been increasing day by day. However, artificial neural networks should also be selected appropriately. In this article, information about the use of artificial neural networks in the world is given, and how they are used with mineral processing systems is explained. Multifaceted research results are given on the benefits of its use in mineral processing systems.