What are the applications of artificial neural network in pattern recognition? Just for classification.

It is not only a classification, but also widely used. After years of research and development, pattern recognition has become an advanced technology, which is widely used in character recognition, voice recognition, fingerprint recognition, remote sensing image recognition, face recognition, handwritten character recognition, industrial fault detection, precision guidance and other fields.

Definition of pattern recognition: It is a process of describing, identifying, classifying and explaining things or phenomena by processing and analyzing various forms of information representing things or phenomena. This technology is based on Bayesian probability theory and Shannon information theory, and the information processing process is closer to the logical thinking process of human brain.

There are two basic pattern recognition methods, namely statistical pattern recognition method and structural pattern recognition method. Artificial neural network is a common method in pattern recognition. In recent years, the artificial neural network pattern recognition method has gradually replaced the traditional pattern recognition method.