Turkish Journal of Electrical Engineering and Computer Sciences
Abstract
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.
DOI
10.3906/elk-1504-204
Keywords
Neural networks, field-programmable gate array, digital scheme, scale invariance
First Page
5090
Last Page
5099
Recommended Citation
ZHANABAEV, Z, KOZHAGULOV, Y, & ZHEXEBAY, D (2016). FPGA implementations of scale-invariant models of neural networks. Turkish Journal of Electrical Engineering and Computer Sciences 24 (6): 5090-5099. https://doi.org/10.3906/elk-1504-204
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