A multi-level hybrid model for very-large-set pattern recognition

A multi-level hybrid model for pattern recognition with a very large set of classes is proposed. The model involves traditional classification methods, knowledge-based methods and neural network methods, employs the advantages of all three methods, and is more characteristic of human perception.<>