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Registration Number

0209U010080, 0106U008621 , R & D reports

Title

The scientific-methodical foundations and software for automation and modeling of control and decision support processes based on recognition and evolutionary optimization procedures in neural network and fuzzy logic bases

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Head

Subbotin Sergey Alexandrovich,

Registration Date

23-07-2009

Organization

Zaporizzhzhya State National University

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Research object - intelligent decision support systems. The aim of this work - the creation of software for intelligent control and decision support systems. In the work were created for the development of intelligent control and decision support systems: a set of methods for the synthesis of neuro-fuzzy models of quantitative and qualitative dependences on the spot data, which adjusts the weights and determine the structure of neuro-fuzzy network in non-iterative mode (this allows to reduce a time and resources for model construction), methods of synthesis of neural networks models, based on an evolutionary approach, multi-agent approach to solve actual problem of parametric synthesis of neuro-fuzzy network in which it needed to find optimal parameter values due to the constructed structure of neuro-fuzzy network. The properties of genetic algorithms are also investigated. It allows to to choose the type of genetic algorithm, which provide better accuracy of learning when it need to solve the practical problems of dependency neural network model constructing. The results of research are recommended for use in problems of technical and biomedical diagnostics, automatic pattern classification on the features etc.

Product Description

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Cубботiн Сергiй Олександрович
Бойченко Кирило Юрійович
Олійник Андрій Олександрович
Олійник Олексій Олександрович
Притула Анатолiй Вiкторович
Табунщик Галина Володимирiвна
Федорченко Євген Миколайович

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2020-04-02