Artificial intelligence, referred to as AI. The research and development of theories, methods, technologies and application systems that simulate, expand and extend human intelligence is an emerging technical science. Artificial intelligence is a branch of computer science. It attempts to understand the nature of intelligence and create a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems. Since the birth of artificial intelligence, its theory and technology have become increasingly mature, and its application fields have continued to expand. It is conceivable that the technological products brought by artificial intelligence in the future will be containers of human intelligence. Humanity is moving towards the information age, and information is the main theme of today's era. Information is abstracted and embodied as knowledge, forming the basis of intelligence. Therefore, from information to knowledge to intelligence, it will become the development trend of human society. Artificial intelligence has been widely and deeply integrated into various disciplines of science and technology and various fields of society. Its concepts, methods and technologies have widely penetrated into all walks of life.

Currently, artificial intelligence research is combined with specific fields. Basically there are the following aspects. Expert system, an expert system is a knowledge system based on the existing knowledge of human experts. Expert systems are the earliest, most active and most effective fields in artificial intelligence research, and are widely used in medical diagnosis, geological exploration, petrochemical industry, military, culture and education, etc. It is a system of procedures with corresponding knowledge and experience in a specific field. It uses artificial intelligence technology to simulate the thinking process of human experts when solving problems, thereby solving various problems in the field and reaching or approaching the level of experts.

Machine learning, the research of machine learning is to study the mechanism of human learning, the thinking process of the human brain, machine learning methods and the establishment of learning systems for specific tasks. The research of machine learning is based on information science, brain science, neuropsychology, logic, fuzzy mathematics and other disciplines. Relying on the common development of these disciplines. At present, although great progress has been made, the problem has not been completely solved. Pattern recognition, pattern recognition is the study of how to make machines have perception capabilities, mainly the recognition of visual patterns and auditory patterns. Such as recognizing objects, terrain, images, fonts such as signatures, etc., which are widely used in all aspects of daily life and military affairs. In recent years, with the rapid development of fuzzy mathematical model applications, artificial neural network model methods have gradually replaced traditional statistical pattern and structural pattern recognition methods. In particular, neural network methods have made great progress in pattern recognition.

Artificial neural network, artificial neural network is inspired by the study of the mysteries of the human brain, trying to use a large number of processing units, artificial neurons, processing elements, electronic components, etc. to simulate the engineering of the human brain nervous system Structure and working mechanism. In artificial neural networks, information processing is achieved through interactions between neurons. The storage of knowledge and information is represented by distributed physical connections between network elements. The learning and recognition of the network rely on the dynamic evolution process of neuron connection weights.