ON USING NEURON NETWORK TO COMPLETE TASKS OF ASSESSMENT AND MONITORING OF HYDRAULIC ENGINEERING CONSTRUCTIONS REMAINING LIFETIME
The area of use of artificial intelligence to complete engineering tasks covers the huge list of the scientific directions. The programs used to form settlement model of an assessment of operational reliability can have different structure. In this work four main types which embody the principles which are the cornerstone of almost all intellectual systems are considered. They allow to systematize and improve accuracy indicators at an assessment of operational reliability of hydraulic engineering constructions by training and generation of unusual situations.