Vol. 2 No. 4 (98) (2019): Mathematics and Cybernetics - applied aspects

Mathematics and Cybernetics - applied aspects

• Construction of an analytical method for limiting the complexity of neural-fuzzy models with guaranteed accuracy

  Borys Sytnik, Volodymyr Bryksin, Sergiy Yatsko, Yaroslav Vashchenko

  6-13

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• Increasing the share of correct clustering of characteristic signal with random losses in self-organizing maps

  Svitlana Shapovalova, Yurii Moskalenko

  13-21

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• Analysis of efficiency of the bioinspired method for decoding algebraic convolutional codes

  Sergii Panchenko, Sergii Prykhodko, Sergii Kozelkov, Mykola Shtompel, Viktor Kosenko, Oleksandr Shefer, Olha Dunaievska

  22-30

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• Development of the procedure for integrated application of scenario prediction methods

  Igor Kovalenko, Yevhen Davydenko, Alyona Shved

  31-38

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• Development of methods for structural and logical model unification of metaknowledge for ontologies evolution managing of intelligent systems

  Ihor Kotov, Oleksandr Suvorov, Oleksandra Serdiuk

  38-47

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• Synthesis of a trend’s integral estimate based on a totality of indicators for a time series data

  Alexander Trunov, Volodymyr Beglytsia

  48-56

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• Development of a method for structural optimization of a neural network based on the criterion of resource utilization efficiency

  Igor Lutsenko, Oleksii Mykhailenko, Oksana Dmytriieva, Oleksandr Rudkovsky, Denis Mospan, Dmitriy Kukharenko, Hanna Kolomits, Artem Kuzmenko

  57-65

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