FPGA implementation of Hopfield Neural Network: for constraint satisfaction problems

Srinivasulu, Avvaru

ISBN 10: 3848435454 / ISBN 13: 9783848435456

Verlag: LAP LAMBERT Academic Publishing, 2012

Beschreibung

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Bestandsnummer des Verkäufers ERICA75838484354546

Bibliografische Details

• Titel: FPGA implementation of Hopfield Neural Network: for constraint satisfaction problems
• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsjahr: 2012
• Sprache: Englisch
• ISBN-10: 3848435454
• ISBN-13: 9783848435456
• Einband: Paperback
• Zustand: Like New
• Buchtyp: book

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Inhaltsangabe

This work was to establish whether it was possible to achieve a reasonable speedup by implementing FPGA based Hopfield neural networks for some simple constraint satisfaction problems. The results are significant – our initial implementation using standard Xilinx FPGAs yielded 2-3 orders of magnitude speedup over the Sun Blade 2000 workstation comes with 1.2-GHz version of the 64-bit UltraSPARC III Cu processor. The main problem with the work to date is that the problems are both unrealistically small and simplistic. That is the constraints on the N-Queen problem are simpler than those found in many real world scheduling applications. Thus, it is not clear whether we will be able to optimize the neuron structure for more complex problems since the weights matrix may not contain as many zero elements. Thus a new method for speed improvement of Hopfield neural networks for solving constraint satisfaction problems using Field Programmable Gate Arrays (FPGAs) was proposed and implemented.