Поиск по всему репозиторию:

    • A New Technique for Restricted Boltzmann Machine Learning 

      Golovko, Vladimir; Kroshchanka, Aliaksandr; Turchenko, Volodymyr; Jankowski, Stanislaw; Treadwell, Douglas (Information Science Warsaw University of Technology, 2015)
      Over the last decade, deep belief neural networks have been a hot topic in machine learning. Such networks can perform a deep hierarchical representation of input data. The first layer can extract low-level features, the second layer can extract high-level features and so on. In general, deep belief ...

      2023-11-01

    • Convergence and integration of artificial neural networks with knowledge bases in next-generation intelligent computer systems 

      Kovalev, Mikhail; Kroshchanka, Aliaksandr; Golovko, Vladimir (БГУИР, 2022)
      In the article, an approach to the integration and convergence of artificial neural networks with knowledge bases in next-generation intelligent computer systems through the representation and interpretation of artificial neural networks in a knowledge base is considered. The syntax, denotational, and ...

      2023-11-02

    • Deep neural networks application in next-generation intelligent computer systems 

      Kroshchanka, Aliaksandr (БГУИР, 2022)
      In the article, an approach to building hybrid next-generation intelligent computer systems (NGICS) based on the integration of pre-trained models of deep neural networks and logical models developed using the OSTIS technology is proposed. To reduce the requirements for the size of the training dataset, ...

      2023-11-02