An Optimization Network for Solving a Set of Simultaneous Linear Equations

Kanad Chakraborty, Kishan G Mehrotra, Chilukuri K. Mohan, Sanjay Ranka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

This paper presents a neural network approach to solving a set of simultaneous linear equations. A Hopfield-style network has been developed to optimize a cost function which reflects the quality of the solution. The notable features of this network are its high speeds of convergence and the extremely accurate solutions it gives for all solvable systems.

Original languageEnglish (US)
Title of host publicationProceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages516-521
Number of pages6
ISBN (Electronic)0780305590
DOIs
StatePublished - 1992
Event1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States
Duration: Jun 7 1992Jun 11 1992

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume2

Conference

Conference1992 International Joint Conference on Neural Networks, IJCNN 1992
Country/TerritoryUnited States
CityBaltimore
Period6/7/926/11/92

Keywords

  • Hopfield nets
  • Neural networks
  • Rank of a matrix
  • Simultaneous linear equations

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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