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Wyszukujesz frazę "Boyko, N." wg kryterium: Autor

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    Wyświetlanie 1-9 z 9
    Tytuł:
    Teoretychni doslidzheniia nadiinosti kukurudzozbyralnoi tekhniky pry vykorystanni rezervuvannia
    Theoretical study of reliability engineering in use maize reservation
    Autorzy:
    Boyko, A.J.
    Bondarenko, A.V.
    Dumenko, K.N.
    Powiązania:
    https://bibliotekanauki.pl/articles/77593.pdf
    Data publikacji:
    2011
    Wydawca:
    Komisja Motoryzacji i Energetyki Rolnictwa
    Źródło:
    Motrol. Motoryzacja i Energetyka Rolnictwa; 2011, 13 A
    1730-8658
    Pojawia się w:
    Motrol. Motoryzacja i Energetyka Rolnictwa
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Basic concepts of dynamic recurrent neural networks development
    Autorzy:
    Boyko, N.
    Pobereyko, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/410971.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    recurrent neural network
    dynamic system
    learning algorithms
    reservoir computing
    unsteady dynamics
    Opis:
    In this work formulated relevance, set out an analytical review of existing approaches to the research recurrent neural networks (RNN) and defined precondition appearance a new direction in the field neuroinformatics – reservoir computing. Shows generalized classification neural network (NN) and briefly described main types dynamics and modes RNN. Described topology, structure and features of the model NN with different nonlinear functions and with possible areas of progress. Characterized and systematized wellknown learning methods RNN and conducted their classification by categories. Determined the place RNN with unsteady dynamics of other classes RNN. Deals with the main parameters and terminology, which used to describe models RNN. Briefly described practical implementation recurrent neural networks in different areas natural sciences and humanities, and outlines and systematized main deficiencies and the advantages of using different RNN. The systematization of known recurrent neural networks and methods of their study is performed and on this basis the generalized classification of neural networks was proposed.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2016, 5, 2; 63-68
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Basic concepts of evolution in agents calculating and agents system
    Autorzy:
    Boyko, N.
    Kutyuk, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/411217.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    system
    technology
    agents
    agents computing
    mobile agents
    method
    web-application
    processing
    analysis
    Opis:
    The basics concepts of evolution in agents calculating are discovered in this work and are showed their directions and applications. Before explaining what is agent and its description, there were given a bit of its history and the difference between agents and programs. Were given basic types of agents on examples and figures. The main task of agents is to require a large number of interactions for which most mathematical modeling methods are unsuitable. Were analyzed agent systems architecture and a description of their main parts. Principles of work with mobile and intelligent agents are considered. Furthermore, were exemplify the reasons and situations of use either intelligent agents or mobile agents. Also, their examples were showed on different examples and figures. Technology and application tools which uses in the process are represented. Analysis of JADE-technology are carried out. On the market today there are analogues of JADE, but most of the systems are relatively new and require many improvements, some are under development prototypes. Also, were given description of main tools and features of JADE. It will help a lot in elaboration of agents. Advantages and disadvantages of using agent approach are showed for creating system of data processing and they show their versatility compared with other systems.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2016, 5, 2; 69-76
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Building computer vision systems using machine learning algorithms
    Autorzy:
    Boyko, N.
    Sokil, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/410768.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    algorithm
    information system
    neural network
    machine learning
    client-server architecture
    script
    artificial system
    machine learning algorithms
    algorytm
    systemy informacyjne
    sieci neuronowe
    systemy uczące
    architektura klient-serwer
    skrypt
    Opis:
    In this paper theoretic aspects of machine learning system in the field of computer vision is considered. There are presented methods of behavior analysis. There are offered tasks and problems associated with building systems using machine learning algorithm. The paper provides signs of problems that can be solved by using machine learning algorithms There is demonstrated step by step construction of computer vision system. The paper provides the algorithm of solving the problem of binary (two classes) classification for demonstration the machine learning algorithm possibilities in image recognition field, which can recognize the gender of the person on the photo. Aspects related to the search of data processing are also considered. There is analyzed the search of optimal parameters for algorithms. An interpretation of results in machine learning algorithm is provided. Binarization methods in machine learning algorithm are offered. There is analyzed the technology for improving the accuracy of machine learning algorithm. There are proposed ways to improve computer vision system in neural systems. Also there are analyzed large software modules that work using machine learning systems. The article provides prospects of powerful information technologies, which are necessary for the proper data selection in learning and configuration of feature extraction algorithm to create a computer vision system.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2017, 6, 2; 15-20
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Determination of cutting forces in grinding with crossed axes of tool and workpiece
    Autorzy:
    Kalchenko, V.
    Yeroshenko, A.
    Boyko, S.
    Sira, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/386456.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
    Tematy:
    cutting force
    grinding
    deforming grain
    cutting edge
    abrasive surface
    abrasive material
    crossed axes
    abrasive grain
    cut volume
    grinding wheel
    Opis:
    In the work the analysis of existent methods of determination of local and general forces of cutting at polishing of surfaces with a type as the arc of circumference is given. The dependence for determination of speed polishing and method for determination of thickness of the cut away layer on condition of equality of the tricked into and taken off volumes of material are offered. The method of determination of cutting forces, which takes into account cutting and deforming grain, is suggested. The method of determining the thickness of a cutting layer of one of the cutting edge, from the condition that the volume of material that is brought and is cut in each local point of contact spots has been proposed. The proposed method takes into account the compliance of the processing system and the discontinuity of the abrasive surface of the tool. By experimental way upper limits of thickness cutting layer when using different abrasive materials for a wide range of cutting speeds have been obtained.
    Źródło:
    Acta Mechanica et Automatica; 2017, 11, 1; 58-63
    1898-4088
    2300-5319
    Pojawia się w:
    Acta Mechanica et Automatica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Use of a cloud storage for implementation informational processes
    Autorzy:
    Boyko, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/410670.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    information process
    script
    information system
    cloud storage
    screenshot
    cloud service
    application programming interface
    software
    informatyzacja
    skrypt
    system informatyczny
    chmura obliczeniowa
    przechowywanie plików w chmurze
    zrzut z ekranu
    Interfejs Programowania Aplikacji
    API
    Opis:
    In this paper, description of a concept of cloud Storage age is offered. One of the most practical methods of storing required information to cloud storage is also considered. Method of creating screenshots is proposed. Theoretical research is carried out and there are justified advantages and disadvantages of different methods of storing information in social networks. The best technique of creating screenshots has been practically implemented. Problems that might come up while working with approach given in this article and its solutions are stipulated. There is analyzed a necessity of setting a zoom parameter which is to transfer after transmitting size value of the picture in social networks. In the article the parameter that specifies the width of the final image and clearly affects the quality of the image is also considered. There is analyzed the effectiveness of creating an information system that saves time for such information processes as tracking the photo and its comments. In the paper the task of changing bets, which are not immediately fixed in social networks is optimized. Also there is implemented in practice a scalability problem of information processes in social networks. In the article a separation of the script is also put into practice. One part of which directly performs the request of image and downloads it to cloud storage. With help of another part the information process is transmitted on the photo where the user identifies.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2017, 6, 2; 3-8
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Building computer vision systems using machine learning algorithms
    Autorzy:
    Boyko, N.
    Dokhniak, B.
    Korkishko, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/411183.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    training with reinforcement
    Q-Learning
    neural networks
    Markov environment
    Opis:
    This article is devoted to the algorithm of training with reinforcement (reinforcement learning). This article will cover various modifications of the Q-Learning algorithm, along with its techniques, which can accelerate learning using neural networks. We also talk about different ways of approximating the tables of this algorithm, consider its implementation in the code and analyze its behavior in different environments. We set the optimal parameters for its implementation, and we will evaluate its performance in two parameters: the number of necessary neural network weight corrections and quality of training.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2018, 7, 2; 9-14
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Forecasting economic and financial indicators by supply of deep and recovery neural networks
    Autorzy:
    Boyko, N.
    Ivanets, A.
    Bosik, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/411261.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    neural network
    deep
    recurrent
    activation function
    feedforward
    neuron
    hidden layer
    stock price prediction
    Opis:
    This paper studies the potential of the application of the Recurrent Neural Networks, as well as the Deep Neural Networks in the field of the finances and trading. In particular, their use in the stock price predicting software. The concepts of the RNNs and DNNs are provided and explained thoroughly. Both techniques RNNs and DNNs are utilized in the implementation of the stock price predicting software. Two separate versions of the software are created in order to demonstrate the main differences between the algorithms, as well as to determine the best of the two. Each version is thoroughly examined. The comparison of each of the algorithms is performed and highlighted. Examples of the implementations of the software, utilizing each of the algorithms on big volumes of stock data, for stock price prediction are provided. The article summarizes the concept of stock price prediction backed by the popular machine learning algorithms and its application in the nowadays world.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2018, 7, 2; 3-8
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Use a cluster approach to organize and analyze data inside the cloud
    Autorzy:
    Boyko, N.
    Mykhailyshyn, P.
    Kryvenchuk, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/411080.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    information process
    cloud computing
    information system
    cloud storage
    data cloud
    cloud service
    cluster approach
    clustering
    Opis:
    In this paper, description of a concept of cloud storage is offered. Cloud data storage is a model of an online storage where the data is being stored in multiple, divided between network servers that are provided for clients’ usage, mostly by a third-party company. The majority of the cloud storages (as opposed to file-exchangers) are offering almost boundless set of functions for free, by only limiting the size of the available storage (mostly a couple of gigabytes). Integrated data mining is being used for extracting potentially useful information from unprocessed data. The methods of data analysis are quite important with cloud computing. The implementation of the methods of integrated data mining inside the cloud will let the users receive the helpful information from non-structured or half-constructed web data sources. The main purpose of this work is to organize huge diverse data coming from different sources into clusters, depending on the type of data.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2018, 7, 2; 15-22
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

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