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A neural network approach to solve the stable...
Journal article

A neural network approach to solve the stable matching problem

Abstract

In this paper two types of neurons, the maximum selection neuron and the maximum cut-off neuron are introduced. They are used to construct a neural network to represent and solve the stable matching problem. The neural network approach allows the matching to be processed dynamically in a distributed parallel processing environment.

Authors

Yuan Y; Wang L

Journal

European Journal of Operational Research, Vol. 93, No. 2, pp. 331–345

Publisher

Elsevier

Publication Date

September 1996

DOI

10.1016/0377-2217(96)00039-2

ISSN

0377-2217