ZEINULLA ZHANABAEV, YELDOS KOZHAGULOV, DAUREN ZHEXEBAY

119104

FPGA implementations of scale-invariant models of neural networks

Integrated circuit implementations of new models of neural networks with scale-invariant properties are presented. The specifics of such models are necessary in analysis of discrete mappings containing fractional power. We suggest an algorithm for increasing the power of a physical value by using a field-programmable gate array (FPGA). Comparisons between FPGA implementations and numerical results are demonstrated.
Keywords:

Neural networks field-programmable gate array, digital scheme, scale invariance,

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Turkish Journal of Electrical Engineering and Computer Science-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
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