Scientific Mining Journal, cilt.63, sa.2, ss.7-37, 2024 (Scopus)
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 is
the human brain works 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.