Application of artificial neural networks in knowledge control

The task of automatization of knowledge control of a specialist based on the use of artificial neural networks (ANN) is reviewed. The task implies the use of each of commercial and proprietary ANN design software as well as integration of subtask solving software. Open and closed type models of testing and adaptive test activities using fuzzy-logic apparatus are described. On the ground of test activities description the testing algorithm is formed based on the classic and special ANNs. Topology and characteristics of ANN are defined, different neural network training methods are considered. Objectivity and accuracy of control and examinator (instructor, teacher, inspector) relief are provided.