Scientific Journal of KubSAU

The article describes the architecture of decision support systems and proposes general architecture of the modern decision support systems

The article describes the network-centric approach to a building control system based on the "inner teacher" neuro - fuzzy topology, which uses the principles of reinforcement learning

The article deals with the issues of determining the complexity of the project objectives, performance evaluation of the project, as well as the question of the distribution of specialists on problems

The study was carried out with the financial support of the RHNF as part of the research project of the RHF RFBR 17-02-00475а "Application of metaheuristic algorithms for solving direct and inverse problems of optimizing the management of spatially distributed complexes"). The article discusses the use of artificial neural networks in frame expert systems, which in some cases make it possible to bypass a number of limitations of the standard version of frame expert systems. Several options for using neural networks in frame expert systems were considered and a number of tasks to be solved for each

The article proposes the implementation of neuro-fuzzy neural network topology of "Internal Teacher"

In the article we consider the topology of genetic search of neural network models

In this article the high-speed method of multilayered perceptron learning which differs in the high speed of training is offered. Results of comparison of a high-speed method of learning with standard methods are resulted

In this article, the approach to the decision of a problem of recognition of figures of the technical analysis with use of artificial neural networks is offered. Also, the problem of forecasting of the further movement of time series is considered

In the article popular technical MACD indicator is considered. Various parameters of the indicator about revealing of statistical advantage are investigated. The variant of use of genetic algorithms for a problem of search of parameters of the indicator is shown

The study was carried out with the financial support of the Russian Foundation for Basic Research, within the framework of the RFBR research project 17-02- 00475a "Application of metaheuristic algorithms to solving direct and inverse problems of optimizing control of spatially distributed complexes". The article considers the task of scenario approach to project management in case of abnormal progress of its implementation. Various contingencies have been analyzed in the course of project implementation. A model of the scenario approach for project management using the training principle with reinforcement is proposed