Journal of
Engineering and Technology Research

  • Abbreviation: J. Eng. Technol. Res.
  • Language: English
  • ISSN: 2006-9790
  • DOI: 10.5897/JETR
  • Start Year: 2009
  • Published Articles: 175

Full Length Research Paper

Digital very-large-scale integration (VLSI) Hopfield neural network implementation on field programmable gate arrays (FPGA) for solving constraint satisfaction problems

A. Srinivasulu
  Vaagdevi Institute of Technology and Science, Proddatur, India.  
Email: [email protected]

  •  Accepted: 28 November 2011
  •  Published: 31 January 2012

Abstract

 

This paper discusses the implementation of Hopfield neural networks for solving constraint satisfaction problems using field programmable gate arrays (FPGAs). It discusses techniques for formulating such problems as discrete neural networks, and then it describes the N-Queen problem using this formulation. Finally results will be presented which compare the computation times for the custom computer against the simulation of the Hopfield network run on a high end workstation. In this way, the speed-up can be determined, that illustrate a speedup of up to 2 to 3 orders of magnitude is possible using current FPGAs devices.

 

Key words: Hopfield neural network, field programmable gate arrays (FPGA), N-Queen problem.

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