A neural network approach to solve the stable matching problem |
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| Affiliation: | 1. Karlsruhe Institute of Technology, Institute of Geography and Geoecology, Kaiserstraße 12, 76131 Karlsruhe, Germany;2. K.N. Toosi University of Technology, Faculty of Geodesy and Geomatics Engineering, P.O Box 15875-4416, Tehran, Iran;3. University of Wuerzburg, Department of Remote Sensing, Oswald-Kuelpe-Weg 86, 97074 Wuerzburg, Germany;4. University of Regensburg, Theoretical Ecology, Universitätsstraße 31, 93053 Regensburg, Germany;1. University of Salamanca (IME), Campus Miguel de Unamuno (Edif. F.E.S.), 37007 Salamanca, Spain;2. Universidad de los Andes, School of Management, Bogotá, Colombia |
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| 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. |
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