The article describes the questions of performance management of teachers in terms of rating system of education and the capabilities of the CASE-system, developed by the author, to automate the teacher’s employment.
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Evolutionary classification method of objects is suggested. Method is based on a ranking of objects relative to the basic element in the multidimensional variable space. Search of the basic element is implemented with the help of modified genetic algorithm. The results of a numerical experiment are presented. They demonstrated a high efficiency of the suggested method.
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The paper deals with rationing limits of electrical power consumption based on the enterprises in Kaliningrad region. We present an algorithm providing the optimal rates decision making. As an environment for the implementation of the limits evaluation determining algorithm Matlab-R2008a package was used. The results of experimental verification and economic evaluation techniques are presented.
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The article describes a hybrid algorithm of neural network settings using sigma-pi neurons concept.
Core of the learning algorithm is a combination of random search algorithms and heuristic algorithms.
The process of heuristic algorithm control based on an oscillating neural network is considered. An
integrated approach to neural networks training based on sigma-pi neurons allows them to perform
training for the time required to adjust the neural network to problems solving. The possibility of using
sigma-pi network to estimate the parameters of data transmission channel security based on the
analysis of the reflected signal-probing spectrum is discussed. To form the training and test sample
network a wireline analysing device was developed.
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The task of creating a tool-making support system of industrial enterprise marketing decisions under uncertainty. It is proposed to use the methodology for multi-agent programming situational modeling functioning of the market as a complex socio-economic system and fuzzy inference procedures for handling uncertain information. We consider examples of situational strategies and making ratio- nal marketing solutions for oil and gas service market.
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The article offers a model of adopting decision support planning the implementation of corporate information system at the enterprise which is based on the application of multi-agent technologies, situational analysis and type-2 fuzzy sets providing the most complete uncertainty associated with the project of introducing corporate information system. The article deals with realization of the developed model which shows its practical applicability and effectiveness.
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