Presentation 1998/3/13
A Performance Evaluation of Digital Neural Network Algorithms for Stable Marriage Problems
Shigeto Tajima, Nobuo Funabiki, Junji Kitamiti,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we evalute the performance of digital neural network algorithms using three neuron models (binary neuron model, hysteresis binary neuron model, and maximum neuron model) and three computation methods (synchronous parallel computation method, N-parallel computation method, and sequential computation method) for the stable marriage problem. The goal of the problem is to find N stable pairs of N men and N women under given preference lists. A pair becomes unstable when there is an unpaired couple of a man and a woman who prefers each other to their actual partners. The simulation results through randomly generated instances show that the performance of the maximum neuron model on the sequential computation method surpasses the other methods in terms of the convergence properly and the solution quality.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Neural network / Neuron model / Computaion method / Simulation / Stable marriage problem
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Conference Information
Committee NLP
Conference Date 1998/3/13(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Performance Evaluation of Digital Neural Network Algorithms for Stable Marriage Problems
Sub Title (in English)
Keyword(1) Neural network
Keyword(2) Neuron model
Keyword(3) Computaion method
Keyword(4) Simulation
Keyword(5) Stable marriage problem
1st Author's Name Shigeto Tajima
1st Author's Affiliation Department of Information and Mathematical Science, Graduate School of Engineering Science, Osaka University()
2nd Author's Name Nobuo Funabiki
2nd Author's Affiliation Department of Information and Mathematical Science, Graduate School of Engineering Science, Osaka University
3rd Author's Name Junji Kitamiti
3rd Author's Affiliation Department of Information and Mathematical Science, Graduate School of Engineering Science, Osaka University
Date 1998/3/13
Paper #
Volume (vol) vol.97
Number (no) 592
Page pp.pp.-
#Pages 8
Date of Issue