FPGA Implementation of Neural Nets

Authors

  • B A Sujathakumari Sri Jayachamarajendra College of Engineering,JSS Science and Technology University,Mysore.
  • Sudarshan Patil Kulkarni Sri Jayachamarajendra College of Engineering,JSS Science and Technology University, Mysore.
  • Sinchana C G Sri Jayachamarajendra College of Engineering,JSS Science and Technology University,Mysore

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.

Author Biographies

B A Sujathakumari, Sri Jayachamarajendra College of Engineering,JSS Science and Technology University,Mysore.

Department of Electronics and Communication Engineering.

Sudarshan Patil Kulkarni, Sri Jayachamarajendra College of Engineering,JSS Science and Technology University, Mysore.

Department of Electronics and Engineering.

Sinchana C G, Sri Jayachamarajendra College of Engineering,JSS Science and Technology University,Mysore

Department of Electronics and Communication Engineering

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Published

2024-04-19

Issue

Vol. 69 No. 3 (2023)

Section

VHDL, Hardware Intelligence

License

Copyright (c) 2023 International Journal of Electronics and Telecommunications

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