Nation-wide synthetic reconstruction method

Tadahiko Murata, Takuya Harada

研究成果: Conference contribution

抄録

In this paper, we improve a synthetic reconstruction (SR) method without samples to synthesize population of a whole nation by modifying a generation method of the initial population. We modify our Simulated Annealing-based household reconstruction method in three points to reconstruct populations of all prefectures in Japan. We consider more members in each household, the number of males and females in households of "couple, children and a grandparent," and parents of husband and wife in "couples and parents (or a parent)". From the reconstruction results, we can see that parents of both husband and wife should be considered. We can also see that considering the statistics on "unmarried male or female" or the statistics on the number of children in "couple, children and grandparents" is useful in determining the number of male and female in "couple, children and a grandparent.".

本文言語English
ホスト出版物のタイトル2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
ISBN(電子版)9781538627259
DOI
出版ステータスPublished - 2018 2月 2
外部発表はい
イベント2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Honolulu, United States
継続期間: 2017 11月 272017 12月 1

出版物シリーズ

名前2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
2018-January

Conference

Conference2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017
国/地域United States
CityHonolulu
Period17/11/2717/12/1

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 制御と最適化

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