@ARTICLE{Kumari_B_A_Sujatha_FPGA_2023,
 author={Kumari, B A Sujatha and Kulkarni, Sudarshan Patil and Sinchana, C G},
 volume={vol. 69},
 number={No 3},
 journal={International Journal of Electronics and Telecommunications},
 pages={599-604},
 howpublished={online},
 year={2023},
 publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications},
 abstract={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.},
 type={Article},
 title={FPGA Implementation of Neural Nets},
 URL={http://journals.pan.pl/Content/128302/PDF-MASTER/26-27-3937-Sujathakumari-sk.pdf},
 doi={10.24425/ijet.2023.146513},
 keywords={artificial neural network, Spartan-6, field programmable gate arrays (FPGAs), convolutional neural network},
}