Web-based Data Analysis: The Hybrid Approach to Neural Networks and Linear Regression : A British Tender Price Index Modelling

• ASANO, Miyoko

• YU, Marco K. W.

• BHATTACHARYYA, Pijush

• TSUBAKI, Hiroe

書誌事項

タイトル別名

• Web-based data analysis: the hybrid approach to neural networks and linear regression: a British tender price index modeling
• Web版ニューラルネットワークと線形回帰分析のハイブリッド解析法によるデータ解析法 : 英国におけるビル価格指数決定モデル

抄録

This paper demonstrates the process of using the Web-Based Approach to Neural Networks and Liner Regression by working through the British TPI model. The Hybrid Approach to Neural networks and Linear Regression was proposed in 2003 as a solution to achieve both high data consistency and lucidity in model interpretation. The Web-Based Approach is a further development to simplify the computation process and allow more researchers to carry out hybrid approach analyses at ease. Using the hybrid approach at the Web-Based system, we manage to find a British TPI model, which is more con-sistent with the data without losing the simplicity in interpretation.

収録刊行物

• 大東文化大学紀要. 社会科学

  大東文化大学紀要. 社会科学 46 A1-A11, 2008-03-31

  東京 : 大東文化大学

キーワード

• Latent structure
• sigmoid decomposition
• Model selection
• Tender Price Index
• Web-Based

詳細情報

• CRID: 1050564287801919744
• NII論文ID: 110007129513
• NII書誌ID: AA12561849
• ISSN: 09122338
• NDL書誌ID: 9439728
• Web Site: http://opac.daito.ac.jp/repo/repository/daito/90/
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9439728
• 資料種別: departmental bulletin paper
• データソース種別:
  • IRDB
  • NDL
  • CiNii Articles
  • KAKEN