Wszystkie pola: Spartan-6 - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Synchronous and asynchronous structural implementation of Łukasiewicz norms in Spartan-6 FPGAs
Autorzy:: Surdej, Ł.
Gniewek, L.
Powiązania:: https://bibliotekanauki.pl/articles/114322.pdf
Data publikacji:: 2016
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: fuzzy hardware
fuzzy Łukasiewicz norms
FPGA
Opis:: Fast time to market, high performance and low cost make new FPGAs a competition for dedicated VLSI device in many area. Their array architecture with lots of programmable resources and IO pins is attractive hardware platform for implementation a complex fuzzy systems. The article discusses the realization of fuzzy Łukasiewicz operations in Xilinx Spartan6 FPGAs, which in addition to Zadeh operations, are basic elements in fuzzy systems. Safe behavioral description of these operations that define functionalities independent of the hardware platform are presented. Structural descriptions of both synchronous and asynchronous fuzzy operations are shown, to carry out their primitive level realization and the effective utilization of basic elements of the FPGA structure. As the result the area optimized implementation of Łukasiewicz operations are obtained.
Źródło:: Measurement Automation Monitoring; 2016, 62, 11; 361-366
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: FPGA Implementation of Neural Nets
Autorzy:: Kumari, B A Sujatha
Kulkarni, Sudarshan Patil
Sinchana, C. G.
Powiązania:: https://bibliotekanauki.pl/articles/27311922.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: artificial neural network
Spartan-6
field programmable gate arrays (FPGAs)
convolutional neural network
Opis:: The field programmable gate array (FPGA) is used to build an artificial neural network in hardware. Architecture for a digital system is devised to execute a feed-forward multilayer neural network. ANN and CNN are very commonly used architectures. Verilog is utilized to describe the designed architecture. For the computation of certain tasks, a neural network’s distributed architecture structure makes it potentially efficient. The same features make neural nets suitable for application in VLSI technology. For the hardware of a neural network, a single neuron must be effectively implemented (NN). Reprogrammable computer systems based on FPGAs are useful for hardware implementations of neural networks.
Źródło:: International Journal of Electronics and Telecommunications; 2023, 69, 3; 599--604
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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