Neural network for global optimization

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1 Citation (Scopus)

Abstract

A tunneling neural network that can be used in conjunction with a Hopfield network to solve a global minimization problem is proposed. When the two are used together, the global minimum of the corresponding Hopfield energy can be attained. Simulation was performed for the traveling salesman problem with four to ten cities, and a solution very near to the global minimum was reached for all the cases investigated.

Original languageEnglish
Title of host publicationProceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages53-63
Number of pages11
ISBN (Electronic)9780780308091
ISBN (Print)0780308093
DOIs
Publication statusPublished - 1992
Event1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992 - Rostov-on-Don, Russian Federation
Duration: 7 Oct 199210 Oct 1992

Publication series

NameProceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992

Conference

Conference1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992
Country/TerritoryRussian Federation
CityRostov-on-Don
Period7/10/9210/10/92

Scopus Subject Areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems

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