The concept of "Artificial neural network" as a set of mathematical algorithms has been formulated by McCulloch and Pitts.

The aim of the network is to study biological processes of the brain and create artificial neural network intelligence, which can be used for data scaling and experimental selection of network topography and characteristics.

The artificial neural networks carry out a number of functions, such as presentation of distributed information and calculations, and the capacity to develop information content. In this context, the intelligent system is presented as a technical or software system and is capable of solving problems that are commonly considered creative, belong to a particular field, and information about it is maintained in such a system.

During the seminar, were studied three main components of the intelligence system's structure: knowledge base, resolving and intelligent interfaces, which allow the use of electronic computing techniques without the need for special software data input.

The speaker also presented the fields of artificial intelligence and artificial neural networks, which are neuro-management, clustering, pattern recognition and classification, prediction, approximation and so on.