Neural Network Interaction of Expert Councils for Strategic Decision-Making
The purpose of this study is to develop methods and methods for adapting neural network mechanisms for making managerial decisions among dissertational councils of the Russian Federation. The objectives of the study include the evaluation of the main elements of the neural network, the existing software neural packages, and the preliminary description of the structure of neural network interaction in the system of dissertation councils. The research hypothesis is the assumption that the functioning of the decision support system can be organized according to the neural network “black box” principle. The results of the research include the characteristics of the neural network interaction of expert councils in the interests of strategic decision-making, the development of the basic structural elements of the neural network, the definition of the primary criteria for their formation.