An asynchronous weightless neural network for discrete relaxation problems Academic Article

abstract

• This paper proposes a weightless neural network for solving discrete relaxation problems. The network implements a parallel version of a new efficient sequential algorithm for the consistent labeling problem. The proposed neural network consists of a feedback interconnection of three layers of very simple neurons that operate in an asynchronous fashion. Because of the simple structure of the neurons, the neural network can be implemented using highly regular AND/OR VLSI arrays. The asynchronous operation eliminates the need for using clocks or placing registers between the different layers and along the feedback paths of the network, thus resulting in very fast convergence time. 1998 IEEE.

authors

• Alnuweiri, Hussein

published proceedings

• IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING

author list (cited authors)

• Alnuweiri, H. M., & Gange, D.

citation count

• 0

complete list of authors

• Alnuweiri, HM||Gange, D

publication date

• December 1998

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• n1057-7130ISSN  Journal

keywords

• Asynchronous Circuits
• Consistent Labeling
• Discrete Relaxation
• Weightless Neural Networks

Digital Object Identifier (DOI)

• 10.1109/82.661652

start page

• 210

end page

• 216

volume

• 45

issue

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2F82.661652