Implementation of Two Cell Non-Autonomous CNN Model on FPGA

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Turkish Journal of Science and Technology
Volume:13 Issue:1
Implementation of Two Cell Non-Autonomous CNN Model on FPGA

Implementation of Two Cell Non-Autonomous CNN Model on FPGA

Authors : Bariş KARAKAYA, Vedat ÇELİK, Arif GÜLTEN

Pages : 25-29

View : 21 | Download : 13

Publication Date : 2018-03-01

Article Type : Research Paper

Abstract :This paper presents implementation of a chaotic Cellular Neural Network insert ignore into journalissuearticles values(CNN); on Field Programmable Gate Array insert ignore into journalissuearticles values(FPGA);. The network has two non-autonomous cells and exhibits chaotic behavior. In the implementation stage, Verilog Hardware Description Language insert ignore into journalissuearticles values(HDL); is used and discrete time model of the network is coded on Xilinx ISE Design Suite 13.2. It seems that the chaotic attractor can be used as entropy source or short key insert ignore into journalissuearticles values(seed); of chaos based random number generator design.
Keywords : Cellular Neural Network, Chaos, FPGA, Random Number Generator

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