Artificial intelligence is a new and cutting-edge discipline. People are unfamiliar with artificial intelligence and pattern recognition. They may mistakenly think that it is the same thing and is often mixed together, but in fact it is not. Essentially, there are great differences between the two. What is the relationship between pattern recognition and artificial intelligence?
What is the relationship between pattern recognition and artificial intelligence?
Pattern recognition is a branch of artificial intelligence, which enables machines to simulate human intelligent behavior through calculation.
Artificial intelligence is a secondary discipline, and pattern recognition is a branch of the tertiary discipline. Pattern recognition should be based on artificial intelligence, which includes artificial intelligence theory, pattern recognition, neural network, and natural language processing.
1. Speech recognition technology
Speech recognition technology is gradually becoming the key technology of human-computer interface in information technology. The application of speech technology has become a competitive emerging high-tech industry. The market forecast of China Internet Center: In the next five years, the Chinese voice technology field will have a market capacity of more than 40 billion yuan, and then grow at an annual rate of more than 30%.
2. Biometric authentication technology
Biometric authentication technology is the most concerned security authentication technology in this century. Its development is the trend of the times. People are willing to forget all passwords, throw away all magnetic cards, and use their uniqueness to identify and keep secret. International Data Group (IDC) predicts that the biometric technology, as the basic core technology of mobile e-commerce, which is the inevitable development direction in the future, will reach a market scale of 10 billion dollars in the next 10 years.
3. Digital Watermarking Technology
Digital watermarking technology, which began to develop internationally since the 1990s, is the most promising and advantageous copyright protection technology for digital media. IDC predicts that the global market capacity of digital watermarking technology will exceed 8 billion dollars in the next five years.
Since the development of pattern recognition in the 1920s, there is a common view that there is no single model and single technology to solve all pattern recognition problems. What we have now is just a tool bag. What we need to do is to combine statistical and syntactic recognition with specific problems, Combine statistical pattern recognition or syntactic pattern recognition with heuristic search in artificial intelligence, combine statistical pattern recognition or syntactic pattern recognition with machine learning of support vector machines, and combine artificial neural networks with various existing technologies, expert systems in artificial intelligence, and uncertain reasoning methods, Deeply grasp the effectiveness and potential of various tools, learn from each other, and create a new situation of pattern recognition application.
Five research directions of pattern recognition artificial intelligence
Artificial neural network pattern recognition: The study of artificial neural network originates from the study of biological neural system. The biggest difference between artificial neural network and other recognition methods is that it does not require too much analysis and understanding of the object to be recognized, and it has certain characteristics of intelligent processing.
Syntactic structure pattern recognition: syntactic structure pattern recognition focuses on the description of the structural characteristics of the object to be recognized.
Among the above algorithms, statistical pattern recognition is the most classic classification and recognition method, which has a very wide range of applications in image pattern recognition.
The research on pattern recognition mainly focuses on two aspects, namely, the research on how organisms (including humans) perceive objects, which belongs to the category of cognitive science, and the theory and method of how to use computers to realize pattern recognition under a given task. The former is the research content of physiologists, psychologists, biologists and neurophysiologists, while the latter has achieved systematic research results through the efforts of mathematicians, informatics experts and computer science in recent decades.
The above is about the relationship between pattern recognition and artificial intelligence, and the five major research directions of pattern recognition artificial intelligence. For many confused little friends, it may help you to solve your doubts.
