Neural computing approach to Japanese electoral system
説明
In December 1994, Japanese single-member constituency system for the House of Representatives was established where Japan is divided into three hundred constituencies. A single representative will be elected from each constituency. Zoning three hundred constituencies was accomplished by hand calculators and the process was a very elaborate task because several constraints must be satisfied. This paper presents a neural computing approach for automatically zoning constituencies. Our method was examined by using 25 Tokyo constituencies. Ideally, the weight of a single vote in a certain population to elect a representative should be equal to that of the other constituencies. Based on the established rule: the ratio of the lightest weight to the heaviest weight must be within two. Our result shows that our ratio is 1.28 while the current (official) ratio is 1.47.
収録刊行物
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- Proceedings of ICNN'95 - International Conference on Neural Networks
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Proceedings of ICNN'95 - International Conference on Neural Networks 5 2202-2207, 2002-11-19
IEEE
