Representation and retrieve of the situation on a complex technological object in the uncertainty conditions

There is considered implementation case-based reasoning in decision support systems on managing a complex technological object. It's has been developed the formalization of situations, comparison models and situations retrieve from the knowledge base, a neural network architecture for comparison and selection of situations. The proposed models and neural network architecture make it possible to implement case-based inference using neural networks and, thus, are a contribution to solving the scientific problem of integrating machine learning and the case-based reasoning method.