High-performance adaptive neurofuzzy classifier with a parametric tuning

The article is devoted to research and development of adaptive algorithms for neuro-fuzzy inference when solving multicriteria problems connected with analysis of expert (foresight) data to identify technological breakthroughs and strategic perspectives of scientific, technological and innovative development. The article describes the optimized structuralfunctional scheme of the high-performance adaptive neuro-fuzzy classifier with a logical output, which has such specific features as a block of decision tree-based fuzzy rules and a hybrid algorithm for neural network adaptation of parameters based on the error back-propagation to the root of the decision tree

Adaptive neuro-fuzzy classifier for evaluating the technology effectiveness based on the modified Wang and Mendel fuzzy neural production MIMO-network

The paper describes practical results gained during synthesis of the classification model for estimating technology effectiveness when solving multi-criteria problems of expert data analysis (Foresight) aimed to identify technological breakthroughs and strategic perspectives of scientific, technological and innovative developmen

Разработка Web-портала

Traditionally, a portal denotes a gate, a door, or entrance. In the context of th

Adaptive fuzzy neural production network with MIMO-structure for the evaluation of technology efficiency

The paper presents an example of modeling the algorithm operation. The paper analyses the modified Wang and Mendel MIMO-architecture of the adaptive fuzzy neural production network with a logical conclusion. It is distinguished by the automatic generation of a set of fuzzy rules based on a fuzzy decision tree and a hybrid algorithm for parameter adaptation by the neural network (centers, widths of membership functions, and conclusions) starting from the leaf nodes to the root nodes of the tree

Neuro-fuzzy methods in cognitive systems of monitoring and forecasting of scientific and technological development of the country

On the basis of many national and international research a neural network model of the trajectory of and techno-economic development, which allows to calculate the level and rate of fuel and energy is developed and the method of evaluating the effectiveness of technological innovation projects on a range of qualitative and quantitative parameters based on the construction of the neuro-fuzzy solution tree is proposed. The developed model, in addition to the promising project choosing, explains the decision making process in an understandable way, in the structure of the neuro-diagnostic decision rules “If ... then.” Thus, this technique allows to determine the significance of the indicators (trends) of the formation of new technological cycles and to identify the reference parameters of the social dimension of the economy. Data received as a result of the intellectual analysis can be used by experts to assess the efficiency of the automated calculation of the effectiveness of technology projects in order to predict the scientific and technological development of the country and make necessary recommendations to the political and socio-economic spheres. Research results can be used both by private and public companies and organizations. This will help to assess and predict future changes, give proper recommendations to scientific institutions in key areas: such as security and counter-terrorism; living systems; nanosystem and materials Industry, information and telecommunication systems, advanced weapons, military and special equipment, management natural resources, transport, aviation and space systems, energy and energy efficiency

Application of reconfigurable computing environments for image processing in X-ray tomography of materials

The article investigates the application of reconfigurable computing environments for image processing purposes, specifically for X-ray images

Reduction of the content of harmful impurities during technical silicon melting using the filtering method

The article discusses the filtration method of cleaning silicon, the possibility of mechanical separation of inclusions, the effect of capillary phenomena, the wettability of the filter material on the efficiency of cleaning silicon from impurities. There are also considered the advantages of bulk granular filters which consist of the lumpy or granulated elements. There are described the methods of obtaining filtering elements, the functions executed by the filters depending on their type. There are presented the analysis results obtained in filter refinement of silicon which show the impact of different filters materials on the content of impurities

Разработка автоматизированной системы телемедицинских консультаций

In the article problems of system engineering of telemedical consultations are considered, the analysis of world approaches to their construction is carried out. The group of authors represents the developed system of asynchronous telemedical consultations, its architecture and advantages before existing analogues.В статье рассматриваются проблемы разработки системы телемедицинских консультаций, проводится анализ мировых подходов к построению систем телемедицинских консультаций. Авторский коллектив представляет разработанную систему асинхронных телемедицинских консультаций, ее архитектуру и преимущества перед существующими аналогами