Journal of Engineering and Technology Research
Subscribe to JETR
Full Name*
Email Address*

Article Number - 6110D791207


Vol.4(1), pp. 11 - 21 , January 2012
https://doi.org/10.5897/JETR11.077
ISSN: 2006-9790


 Total Views: 0
 Downloaded: 0

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

Copyright © 2012 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


 

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.


APA (2012). Digital very-large-scale integration (VLSI) Hopfield neural network implementation on field programmable gate arrays (FPGA) for solving constraint satisfaction problems. Journal of Engineering and Technology Research, 4(1), 11 - 21.
Chicago A. Srinivasulu. "Digital very-large-scale integration (VLSI) Hopfield neural network implementation on field programmable gate arrays (FPGA) for solving constraint satisfaction problems." Journal of Engineering and Technology Research 4, no. 1 (2012): 11 - 21.
MLA A. Srinivasulu. "Digital very-large-scale integration (VLSI) Hopfield neural network implementation on field programmable gate arrays (FPGA) for solving constraint satisfaction problems." Journal of Engineering and Technology Research 4.1 (2012): 11 - 21.
   
DOI https://doi.org/10.5897/JETR11.077
URL http://academicjournals.org/journal/JETR/article-abstract/6110D791207

Subscription Form