Neural network expert system

There are two approaches to applying neural mathematics in the expert system (ES) field: realization of neural ES technology and neural realization of modules of traditional ES technology. The first approach requires a great deal of systematization of the problem area, which may maintain a finite (perhaps very large) number of objects and relations. The neural ES implements traditional ES functions. It is possible to create a self-learning ES based on Samual´s idea. Attention is given to a system processing incomplete information, a neural network system of knowledge processing and acquisition, a Boolean-logic-based ES, and the synthesis of a network system with varying structures