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Olha Salnikova,Olga Cherviakova,Oleg Sova,Ruslan Zhyvotovskyi,Serhii Petruk,Taras Hurskyi,Andrii Shyshatskyi,Andrey Nos,Yevhenii Neroznak,Ihor Proshchyn
Pág. 35 - 44
Nowadays, artificial intelligence has entered into all spheres of human activity. However, there are some problems in the analysis of objects, for example, there is a priori uncertainty about the state of objects and the analysis takes place in a difficu...
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Pavlo Zuiev,Ruslan Zhyvotovskyi,Oleksii Zvieriev,Serhiy Hatsenko,Volodymyr Kuprii,Oleksandr Nakonechnyi,Mykhailo Adamenko,Andrii Shyshatskyi,Yevhenii Neroznak,Vira Velychko
Pág. 14 - 23
The complex methodology for processing heterogeneous data in intelligent decision support systems is developed. This method is made to increase the efficiency of processing heterogeneous data in intelligent decision support systems. The complex methodolo...
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Oleg Sova,Andrii Shyshatskyi,Yurii Zhuravskyi,Olha Salnikova,Oleksandr Zubov,Ruslan Zhyvotovskyi,?gor Romanenko,Yevhen Kalashnikov,Artem Shulhin,Alexander Simonenko
Pág. 6 - 14
The method of training artificial neural networks for intelligent decision support systems is developed. A distinctive feature of the proposed method is that it provides training not only of the synaptic weights of the artificial neural network, but also...
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Oleg Sova,Oleksandr Turinskyi,Andrii Shyshatskyi,Volodymyr Dudnyk,Ruslan Zhyvotovskyi,Yevgen Prokopenko,Taras Hurskyi,Valerii Hordiichuk,Anton Nikitenko,Artem Remez
Pág. 46 - 55
The algorithm to train artificial neural networks for intelligent decision support systems has been constructed. A distinctive feature of the proposed algorithm is that it conducts training not only for synaptic weights of an artificial neural network, b...
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Ihor Alieinykov,Khudhair Abed Thamer,Yurii Zhuravskyi,Oleg Sova,Nataliia Smirnova,Ruslan Zhyvotovskyi,Serhiy Hatsenko,Sergii Petruk,Rostislav Pikul,Andrii Shyshatskyi
Pág. 16 - 27
The method of fuzzy evaluation of information and analytical support of strategic management is developed. A distinctive feature of the proposed method a flexible hierarchical structure of indicators. This allows reducing the task of multicriteria evalua...
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Alexander Koshlan,Olha Salnikova,Mariia Chekhovska,Ruslan Zhyvotovskyi,Yevgen Prokopenko,Taras Hurskyi,Alexander Yefymenko,Yevhen Kalashnikov,Sergii Petruk,Andrii Shyshatskyi
Pág. 35 - 45
The algorithm of complex processing of geospatial data in special-purpose geoinformation systems in the conditions of diversity and uncertainty of data is developed. The novelty of the algorithm is to ensure the functioning of the geoinformation system i...
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