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J-GLOBAL ID:201802265010335754   Reference number:18A1980978

Rent Estimation Model and Visualization of Area Potential Using Deep Neural Network A Focus on Attributes of Building and Area

Deep Neural Networkを用いた物件の賃料推定モデルの構築と地域ポテンシャルマップの作成 建物属性と地域属性に着目して
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Volume: 53  Issue:Page: 1499-1506(J-STAGE)  Publication year: 2018 
JST Material Number: G0606B  ISSN: 1348-284X  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

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Land problems 
Reference (15):
  • 1) Y. Fukushima Y. Hasegawa M. Maeda T. Seto, H. Omata & Y.Sekimoto. (2017). The development of japanese citys future simulation system: My city forecast. Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings, 17:Artible 27.
  • 2) T. Seto Y. Hasegawa, Y. Sekimoto & Y. Fukushima. (2015). How will compact city affect me : urban planning simulation for citizens. CUPUM (Computers in Urban Planning and Urban Manage-ment),conference papers, 14:1-15.
  • 3) 早川玲理, & 浅見泰司. (2004). 居住者タイプに応じた住環境適地マップの構築.都市住宅学,2004(47), 148-153.
  • 4) 鈴木雅智,& 浅見泰司. (2017). 東京大都市圏郊外の中古住宅市場に置ける需給バランス.都市計画論文集,52(3), 514-520.
  • 5) Mok, H. M., Chan, P. P., & Cho, Y. S. (1995). A hedonic price model for private properties in Hong Kong. The Journal of Real Estate Finance and Economics, 10(1), 37-48.
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