Attribute network computing based on qualitative mapping and its application in pattern recognition
It is shown in this paper that a qualitative mapping model of pattern recognition can be induced by the basic princeple that the pattern P({(x(j), y '(x(j))}) constructed by the set of the pair of varibale x(j) and its computing value y '(x(j)) of a function y = f(x) could be considered as the graph of y(x), and a logic circuit, called Attribute Network Computing can be constructed by the relation between the input and output of qualitative mapping, such that not only a lot of artificial intelligent methods, such as Expert Syatem, Artificial Neural Network, and Support Vector Machine can be fused and unified in it, but also a lot of pattern recognition can be implemented by it.
attribute network computing qualitative mapping pattern recognition artificial neural network support vector machine intelligence fusion expert system