Abstract:
Artificial intelligence is a branch of computer science that attempts to understand the
essence of intelligence and produce a new intelligent machine capable of responding in a manner
similar to human intelligence. Research in this area includes robotics, language recognition, image
identification, natural language processing, and expert systems. In recent years, the availability of
large datasets, the development of effective algorithms, and access to powerful computers have led
to unprecedented success in artificial intelligence. This powerful tool has been used in numerous
scientific and engineering fields including mineral identification. This paper summarizes the methods
and techniques of artificial intelligence applied to intelligent mineral identification based on research,
classifying the methods and techniques as artificial neural networks, machine learning, and deep
learning. On this basis, visualization analysis is conducted for mineral identification of artificial
intelligence from field development paths, research hot spots, and keywords detection, respectively.
In the end, based on trend analysis and keyword analysis, we propose possible future research
directions for intelligent mineral identification.
