The effectiveness of methods for forming a comprehensive information facility to make targeted decisions in high-tech industries is determined by the systematic organization of processes aimed at measuring costs and results in automated systems. The formation of such information facilities in terms of ensuring unity and comparability of information is considered. The main indicators are the description and language implementation of models of automated quality assurance systems, ways to ensure the unity of information and consistency of requirements, metrics of integrity and comparability of data in systems.

The article describes the study carried out by the authors of the use of parametric geometric models to reduce the complexity of the design of parts that follow the theoretical contour of the bearing surfaces of the aircraft. Also, an algorithm that allows eliminating the existing ad hoc concavity profile is considered.

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In the present article we will consider a class of associative machines with dynamic structure where the entrance signal exerts direct impact on the mechanism of association of output signals of experts. At the same time we are interested in such group of expert decisions at which separate expert responses unite not linearly through hierarchically organized lock networks. Hierarchical mixture of opinions of experts, along with simple mixture are examples of modular networks: neural network of a module if the calculations executed by it can be distributed on several subsystems processing different entrance signals and not crossed in the work. Output signals of these subsystems unite the integrative module which exit does not possess feedback with subsystems. In fact, the integrative module makes the decision as output signals of subsystems are grouped in the general output signal of system, and identifies what examples are samples for training of concrete modules. The most general definition of modular neural network: any set of algorithms of data processing, including algorithms of the artificial neural networks grouped for the solution of some uniform task. Automatically determine the class of associative machines with dynamic structure where the entrance signal exerts direct impact on the mechanism of association of output signals of experts, at the same time group of expert decisions at which separate expert responses unite not linearly through hierarchically organized lock networks is considered.

The article discusses the functional development and integration into the educational process of a virtual laboratory stand, with the aim of digitalizing the educational processes of higher education without loss as educational services related to the completeness of mastering professional competencies in specialized engineering courses. The developed laboratory stand allows simulating technological processes implemented in an apparatus consisting of four connected tanks. Modeling such a complex technological process with many interconnected elements is necessary for the most detailed research and synthesis of automatic control systems for multiply connected objects. The program simulates two control loops, each of which can be switched to manual or automatic operation. To realize the maximum adequacy of the mathematical model, the program provides for the possibility of taking into account the influence of the actuators on the regulation process.