Classification of air situation using deep neural networks and fuzzy inference

A method for classifying the state of the air situation is proposed. Its basis is a deep neural network that solves the problem of reducing the dimension of the input vector of features, and a fuzzy inference machine that provides an assessment of the possibility of matching the feature vector of each of the operational situations. The result of the classifier is the possibilities of all states of the air situation at the current time. The classifier is demonstrated on a model example.