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.

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High-rise construction is a complex construction process, requiring the use of more perfected and sophisticated tools for design, planning and construction management. The use of BIM-technologies allows minimizing the risks associated with design errors and errors that occur during construction. This article discusses a visual planning method using the 4D model, which allows the project team to create an accurate and complete construction plan, which is much more difficult to achieve with the help of traditional planning methods. The use of the 4D model in the construction of a 70-story building allowed to detect spatial and temporal errors before the start of construction work. In addition to identifying design errors, 4D modeling has allowed to optimize the construction, as follows: to optimize the operation of cranes, the placement of building structures and materials at various stages of construction, to optimize the organization of work performance, as well as to monitor the activities related to the preparation of the construction site for compliance with labor protection and safety requirements, which resulted in saving money and time.

The article discusses the possibility of integrating the traditionally opposed approaches of Agile and Kanban in the management of large manufacturing enterprises. The aim of the study is to develop a new algorithm for the implementation of lean production via formation of small work groups that operate based on Scrum methodology. Authors have classified famous approaches to lean manufacturing implementation, identified general patterns, and proposed a new integrated approach. The developed algorithm helps to launch lean production at a large enterprise in a most efficient way, quickly involve personnel in the change process, and identify change leaders. Agile frameworks in lean management support to get a specific result in a short time and make quick adjustments to scheduled plans.

Abstract. The algorithm of a clustering of fund of the residential realestate is based on a neural network simulation using T. Kokhonnen's maps. Self-organizing maps (SOM) divide 296 objects into 16 clusters based on 33 signs. An important result of the research is the possibility of structural analysis of housing stock which allows to form an idea of his general condition. During periodic inspection and analysis of the condition of housing stock relocation of an object in other cluster will specify the changed technical condition. The quantitative composition of similar clusters will allow to determine the necessary volume of investment of these activities.