Abstract:
In work questions of construction of diagnostic expert systems (DES) on the basis of neural networks (NN) with lateral braking are considered. Methods of training of such networks are offered. Questions of reception of the diagnostic information in the heterogeneous computer network and uses of the aprioristic information on the importance of diagnostic attributes are analyses. Results of work can be used at construction nn diagnostic systems (clustering).