Eastern-European Journal of Enterprise Technologies

Terminology used in the title of the "Eastern-European Journal of Enterprise Technologies" - "enterprise technologies" should be read as "industrial technologies". "Eastern-European Journal of Enterprise Technologies" publishes all those best ideas from the science, which can be introduced in the industry. Since, obtaining  the high-quality, competitive industrial products is based on introducing high technologies from various independent spheres of scientific researches, but united by a common end result - a finished high-technology product. Among these scientific spheres, there are engineering, power engineering and energy saving, technologies of inorganic and organic substances and materials science, information technologies and control systems. Publishing scientific papers in these directions are the main development "vectors" of the "Eastern-European Journal of Enterprise Technologies". Since, these are those directions of scientific researches, the results of which can be directly used in modern industrial production: space and aircraft industry, instrument-making industry, mechanical engineering, power engineering, chemical industry and metallurgy.

Therefore, the scientists, associated with modern production, have the opportunity to participate in technology transfer to industry, publishing the results of their applied scientific researches. Industrialists, in turn, can draw scientific and practical information from the journal - each in their direction:

  • specialists in management and computer science - from volumes "Applied Information Technologies and Control Systems", "Mathematics and Cybernetics - Applied Aspects";
  • mechanical and design engineers - from the volume "Applied Mechanics";
  • production engineers - from volumes "Mechanical Engineering Technology", "Applied Physics", " Materials Science", "Technology of organic and inorganic substances and the Ecology";
  • production and power engineers - from the volume "Energy-saving technology and equipment".

The goal of the journal is to eliminate the gap, which occurs between the rapidly emerging new scientific knowledge and their introduction in the industry, which requires much more time. Industrial enterprises are active subscribers to the "Eastern-European Journal of Enterprise Technologies", and production engineers check the practical value of those scientific and technological ideas, which are recommended for implementation by scientists-authors of the ''Eastern-European Journal of Enterprise Technologies".

The objective of the journal in achieving the goal is forming a "scientific component" of modern technologies transfer from science to industry. Therefore, in the papers, published in the journal, the emphasis is placed on both scientific novelty, and practical value.

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

Full Issue

View or download the full issue ABSTRACT AND REFERENCES

Table of Contents

Mathematics and Cybernetics - applied aspects

Construction of an analytical method for limiting the complexity of neural-fuzzy models with guaranteed accuracy PDF
Borys Sytnik, Volodymyr Bryksin, Sergiy Yatsko, Yaroslav Vashchenko 6-13
Increasing the share of correct clustering of characteristic signal with random losses in self-organizing maps PDF
Svitlana Shapovalova, Yurii Moskalenko 13-21
Analysis of efficiency of the bioinspired method for decoding algebraic convolutional codes PDF
Sergii Panchenko, Sergii Prykhodko, Sergii Kozelkov, Mykola Shtompel, Viktor Kosenko, Oleksandr Shefer, Olha Dunaievska 22-30
Development of the procedure for integrated application of scenario prediction methods PDF
Igor Kovalenko, Yevhen Davydenko, Alyona Shved 31-38
Development of methods for structural and logical model unification of metaknowledge for ontologies evolution managing of intelligent systems PDF
Ihor Kotov, Oleksandr Suvorov, Oleksandra Serdiuk 38-47
Synthesis of a trend’s integral estimate based on a totality of indicators for a time series data PDF
Alexander Trunov, Volodymyr Beglytsia 48-56
Development of a method for structural optimization of a neural network based on the criterion of resource utilization efficiency PDF
Igor Lutsenko, Oleksii Mykhailenko, Oksana Dmytriieva, Oleksandr Rudkovsky, Denis Mospan, Dmitriy Kukharenko, Hanna Kolomits, Artem Kuzmenko 57-65