ICANN 98 pp 547-553 | Cite as

A Linear Programming Neural Circuit Model

  • József Bíró
  • Miklós Boda
Conference paper
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)

Abstract

In this paper we present a neural circuit model which can solve linear programming problems. The main feature of the model is that it takes into account saturating behaviour of circuit elements in a possible realizations. The neural model can be viewed as a gradient system and its operation is based on the penalty function approach of solving linear programming tasks. In the paper the properties of the model are discussed including stability and that how to utilize the saturation in the neurons for obtaining better performance.

Keywords

Librium Larg Boda 

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References

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Copyright information

© Springer-Verlag London 1998

Authors and Affiliations

  • József Bíró
    • 1
  • Miklós Boda
    • 2
  1. 1.High Speed Networks Laboratory Dept. of Telecommunications and TelematicsTechnical University of BudapestBudapestHungary
  2. 2.Traffic Analysis and Network Performance LaboratoryEricssonBudapestHungary

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